Internet of things describes the network of physical objects such as sensors, receivers, transmitters and other technologies which are used in VCN. In Vehicular communication network two or more vehicles are communicate with each other. VCN use advanced technologies to solve transportation related problems like long traffic delays, road accidents and air pollution. IOT based technologies make vehicular network smart. In this chapter we reviewed about network resource allocation security techniques, challenges and also discuss how we can make vehicular communication network smarter. We reviewed about different models and schemes for V2V communication. These schemes were developed to ensure a fair, efficient and transparent allocation of resource in an intelligent transportation system.
Resource optimization-based network selection model for heterogeneous wireles...IAESIJAI
The internet of things (IoT) environment prerequisite seamless connectivity for meeting real-time application requirements; thus, required efficient resource management techniques. Heterogeneous wireless networks (HWNs) have been emphasized for providing seamless connectivity with high quality of service (QoS) performance to provision IoT applications. However, the existing resource allocation scheme suffers from interference and fails to provide a quality experience for low-priority users. As a result, induce bandwidth wastage and increase handover failure. In addressing the research issues this paper presented the resource-optimized network selection (RONS) method for HWNs. The RONS method employs better load balancing to reduce handover failure and maximizes resource utilization through dynamic slot optimization. The RONS method assures tradeoffs between high performance to high priority users and quality of experience (QoE) for low priority users. The experiment outcome shows the RONS achieves very good performance in terms of throughput, packet loss, and handover failures in comparison with existing resource selection methods.
IoT Resource Allocation and Optimization Using Improved Reptile Search AlgorithmIJCNCJournal
The Internet of Things (IoT) is a dispersed network system that connects the world through the Internet. The architecture of IoT consists of more gateways and resources which cannot be allocated in a manual process. The allocation of resources in IoT is a challenging process due to the higher consumption of energy and high latency rate. To overcome the challenges in existing works, this research introduced an Improved Reptile Search Algorithm (IRSA) to solve the optimization problem which occurs during the time of allocation resources among IoT networks. IRSA employs the methodology of levy flight and cross-over to update the candidate position and enhance the search speed in a single iteration. The proposed method consumes less energy and has low latency during data transmission from User equipment (UE) to the base station.IRSA has been compared with the existing Scalable Resource Allocation Framework (SRAF) and Improved Chaotic Firefly Algorithm (ICFA). The obtained experimental results show that the proposed IRSA attained better performance with an allocation rate of 96.40% which is comparatively higher than SRAF and ICFA with 92.40% and 91.67% respectively.
IoT Resource Allocation and Optimization Using Improved Reptile Search AlgorithmIJCNCJournal
The Internet of Things (IoT) is a dispersed network system that connects the world through the Internet. The architecture of IoT consists of more gateways and resources which cannot be allocated in a manual process. The allocation of resources in IoT is a challenging process due to the higher consumption of energy and high latency rate. To overcome the challenges in existing works, this research introduced an Improved Reptile Search Algorithm (IRSA) to solve the optimization problem which occurs during the time of allocation resources among IoT networks. IRSA employs the methodology of levy flight and cross-over to update the candidate position and enhance the search speed in a single iteration. The proposed method consumes less energy and has low latency during data transmission from User equipment (UE) to the base station.IRSA has been compared with the existing Scalable Resource Allocation Framework (SRAF) and Improved Chaotic Firefly Algorithm (ICFA). The obtained experimental results show that the proposed IRSA attained better performance with an allocation rate of 96.40% which is comparatively higher than SRAF and ICFA with 92.40% and 91.67% respectively.
Traffic Control System by Incorporating Message Forwarding ApproachCSCJournals
During the last few years, continuous progresses in wireless communications have opened new research fields in computer networking, aimed at extending data networks connectivity to environments where wired solutions are impracticable. Among these, vehicular traffic is attracting a growing attention from both academia and industry, due to the amount and importance of related distributive applications to mobile entertainment. VANETs are self-organized networks built up from moving vehicles, and are part of the broader class of MANETs. Because of these peculiar characteristics, VANETs require new networking techniques, whose feasibility and performance are usually tested by means of simulation. In order to meet performance goals, it is widely agreed that VANETs must rely heavily on node-to-node communication. In VANET, each vehicle acts as a node and communicates with other vehicles within the range or communicates with base stations. The main idea is to deploy a wireless communication network that has a capability of sending and receiving messages between transmitter and mobile devices in the particular network. Results can be shown using an effective VEINS Simulator. This Simulator can produce detailed vehicular movement traces and can simulate different traffic conditions through fully customizable scenarios. The Framework is expected to be employed using such simulator that makes use of traffic modulator, network simulator and coupling module that integrates the traffic and network.
Trust correlation of mobile agent nodes with a regular node in a Adhoc networ...IJECEIAES
A mobile agent offers discrete advantage both in facilitating better transmission as well as controlling the traffic load in Mobile Adhoc Network (MANET). Hence, such forms of network offers maximized dependencies on mobile agents in terms of its trust worthiness. At present, there are various work being carried out towards resisting security breach in MANET; however approaches using mobile agent based mechanism is few to found. Therefore, the proposed system introduces a novel mathematical model where an extensive decision making system has been constructed for identifying the malicious intention of mobile agents in case they go rogues. By adopting multi-tier communication policy and fairness concept, the proposed system offers the capability to resist any form of malicious activity of mobile agent without even presence of any apriori information of adversary. The outcome shows proposed system outshines existing security scheme in MANET.
Energy-efficient data-aggregation for optimizing quality of service using mo...IJECEIAES
Quality of service (QoS) is essential for carrying out data transmission using resource-constrained sensor nodes in wireless sensor network (WSN). The introduction of mobile agent-based data aggregation is reported to offer energy efficiency; however, it has limitations, especially using a single mobile agent, where QoS optimization is not feasible. A review of existing studies showcases some dedicated attempts to use a mobile agent-based approach and address QoS enhancements. However, they were never combined studied. Therefore, this paper introduces a unique concept of retaining maximum QoS performance during data aggregation using a single mobile agent. The model introduces a unique communication framework, transmission provisioning using exceptional routine management, and simplified energy modeling. The proposed model has aimed for a lower delay and faster data aggregation speed with lower consumption of transmittance energy. The implementation and assessment of the model are carried out considering the challenging environment of WSN with multiple scales of data priority. The proposed model also contributes to evolving out with simplified communication vectors in a highly decentralized method. MATLAB's simulation outcome shows that the proposed system offers better delay performance, optimal energy management, and faster response time than existing schemes.
Performance Evaluation of VANETs for Evaluating Node Stability in Dynamic Sce...Editor IJCATR
Vehicular ad hoc networks (VANETs) are a favorable area of exploration which empowers the interconnection amid the movable vehicles and between transportable units (vehicles) and road side units (RSU). In Vehicular Ad Hoc Networks (VANETs), mobile vehicles can be organized into assemblage to promote interconnection links. The assemblage arrangement according to dimensions and geographical extend has serious influence on attribute of interaction .Vehicular ad hoc networks (VANETs) are subclass of mobile Ad-hoc network involving more complex mobility patterns. Because of mobility the topology changes very frequently. This raises a number of technical challenges including the stability of the network .There is a need for assemblage configuration leading to more stable realistic network. The paper provides investigation of various simulation scenarios in which cluster using k-means algorithm are generated and their numbers are varied to find the more stable configuration in real scenario of road.
Resource optimization-based network selection model for heterogeneous wireles...IAESIJAI
The internet of things (IoT) environment prerequisite seamless connectivity for meeting real-time application requirements; thus, required efficient resource management techniques. Heterogeneous wireless networks (HWNs) have been emphasized for providing seamless connectivity with high quality of service (QoS) performance to provision IoT applications. However, the existing resource allocation scheme suffers from interference and fails to provide a quality experience for low-priority users. As a result, induce bandwidth wastage and increase handover failure. In addressing the research issues this paper presented the resource-optimized network selection (RONS) method for HWNs. The RONS method employs better load balancing to reduce handover failure and maximizes resource utilization through dynamic slot optimization. The RONS method assures tradeoffs between high performance to high priority users and quality of experience (QoE) for low priority users. The experiment outcome shows the RONS achieves very good performance in terms of throughput, packet loss, and handover failures in comparison with existing resource selection methods.
IoT Resource Allocation and Optimization Using Improved Reptile Search AlgorithmIJCNCJournal
The Internet of Things (IoT) is a dispersed network system that connects the world through the Internet. The architecture of IoT consists of more gateways and resources which cannot be allocated in a manual process. The allocation of resources in IoT is a challenging process due to the higher consumption of energy and high latency rate. To overcome the challenges in existing works, this research introduced an Improved Reptile Search Algorithm (IRSA) to solve the optimization problem which occurs during the time of allocation resources among IoT networks. IRSA employs the methodology of levy flight and cross-over to update the candidate position and enhance the search speed in a single iteration. The proposed method consumes less energy and has low latency during data transmission from User equipment (UE) to the base station.IRSA has been compared with the existing Scalable Resource Allocation Framework (SRAF) and Improved Chaotic Firefly Algorithm (ICFA). The obtained experimental results show that the proposed IRSA attained better performance with an allocation rate of 96.40% which is comparatively higher than SRAF and ICFA with 92.40% and 91.67% respectively.
IoT Resource Allocation and Optimization Using Improved Reptile Search AlgorithmIJCNCJournal
The Internet of Things (IoT) is a dispersed network system that connects the world through the Internet. The architecture of IoT consists of more gateways and resources which cannot be allocated in a manual process. The allocation of resources in IoT is a challenging process due to the higher consumption of energy and high latency rate. To overcome the challenges in existing works, this research introduced an Improved Reptile Search Algorithm (IRSA) to solve the optimization problem which occurs during the time of allocation resources among IoT networks. IRSA employs the methodology of levy flight and cross-over to update the candidate position and enhance the search speed in a single iteration. The proposed method consumes less energy and has low latency during data transmission from User equipment (UE) to the base station.IRSA has been compared with the existing Scalable Resource Allocation Framework (SRAF) and Improved Chaotic Firefly Algorithm (ICFA). The obtained experimental results show that the proposed IRSA attained better performance with an allocation rate of 96.40% which is comparatively higher than SRAF and ICFA with 92.40% and 91.67% respectively.
Traffic Control System by Incorporating Message Forwarding ApproachCSCJournals
During the last few years, continuous progresses in wireless communications have opened new research fields in computer networking, aimed at extending data networks connectivity to environments where wired solutions are impracticable. Among these, vehicular traffic is attracting a growing attention from both academia and industry, due to the amount and importance of related distributive applications to mobile entertainment. VANETs are self-organized networks built up from moving vehicles, and are part of the broader class of MANETs. Because of these peculiar characteristics, VANETs require new networking techniques, whose feasibility and performance are usually tested by means of simulation. In order to meet performance goals, it is widely agreed that VANETs must rely heavily on node-to-node communication. In VANET, each vehicle acts as a node and communicates with other vehicles within the range or communicates with base stations. The main idea is to deploy a wireless communication network that has a capability of sending and receiving messages between transmitter and mobile devices in the particular network. Results can be shown using an effective VEINS Simulator. This Simulator can produce detailed vehicular movement traces and can simulate different traffic conditions through fully customizable scenarios. The Framework is expected to be employed using such simulator that makes use of traffic modulator, network simulator and coupling module that integrates the traffic and network.
Trust correlation of mobile agent nodes with a regular node in a Adhoc networ...IJECEIAES
A mobile agent offers discrete advantage both in facilitating better transmission as well as controlling the traffic load in Mobile Adhoc Network (MANET). Hence, such forms of network offers maximized dependencies on mobile agents in terms of its trust worthiness. At present, there are various work being carried out towards resisting security breach in MANET; however approaches using mobile agent based mechanism is few to found. Therefore, the proposed system introduces a novel mathematical model where an extensive decision making system has been constructed for identifying the malicious intention of mobile agents in case they go rogues. By adopting multi-tier communication policy and fairness concept, the proposed system offers the capability to resist any form of malicious activity of mobile agent without even presence of any apriori information of adversary. The outcome shows proposed system outshines existing security scheme in MANET.
Energy-efficient data-aggregation for optimizing quality of service using mo...IJECEIAES
Quality of service (QoS) is essential for carrying out data transmission using resource-constrained sensor nodes in wireless sensor network (WSN). The introduction of mobile agent-based data aggregation is reported to offer energy efficiency; however, it has limitations, especially using a single mobile agent, where QoS optimization is not feasible. A review of existing studies showcases some dedicated attempts to use a mobile agent-based approach and address QoS enhancements. However, they were never combined studied. Therefore, this paper introduces a unique concept of retaining maximum QoS performance during data aggregation using a single mobile agent. The model introduces a unique communication framework, transmission provisioning using exceptional routine management, and simplified energy modeling. The proposed model has aimed for a lower delay and faster data aggregation speed with lower consumption of transmittance energy. The implementation and assessment of the model are carried out considering the challenging environment of WSN with multiple scales of data priority. The proposed model also contributes to evolving out with simplified communication vectors in a highly decentralized method. MATLAB's simulation outcome shows that the proposed system offers better delay performance, optimal energy management, and faster response time than existing schemes.
Performance Evaluation of VANETs for Evaluating Node Stability in Dynamic Sce...Editor IJCATR
Vehicular ad hoc networks (VANETs) are a favorable area of exploration which empowers the interconnection amid the movable vehicles and between transportable units (vehicles) and road side units (RSU). In Vehicular Ad Hoc Networks (VANETs), mobile vehicles can be organized into assemblage to promote interconnection links. The assemblage arrangement according to dimensions and geographical extend has serious influence on attribute of interaction .Vehicular ad hoc networks (VANETs) are subclass of mobile Ad-hoc network involving more complex mobility patterns. Because of mobility the topology changes very frequently. This raises a number of technical challenges including the stability of the network .There is a need for assemblage configuration leading to more stable realistic network. The paper provides investigation of various simulation scenarios in which cluster using k-means algorithm are generated and their numbers are varied to find the more stable configuration in real scenario of road.
Construction Management (CM) has to deal with a variety of uncertainties related to Time, Cost, Quality, and Safety, to name a few. Such uncertainties make the entire construction process highly unpredictable. It, therefore, falls under the purview of artificial neural networks (ANNs) in which the given hazy information can be effectively interpreted in order to arrive at meaningful conclusions. This paper reviews the application of ANNs in construction activities related to the prediction of costs, risk, and safety, tender bids, as well as labor and equipment productivity. The review suggests that the ANN’s had been highly beneficial in correctly interpreting inadequate input information. It was seen that most of the investigators used the feed forward back propagation type of the network; however, if a single ANN architecture was found to be insufficient, then hybrid modeling in association with other machine learning tools such as genetic programming and support vector machines were much useful. It was however clear that the authenticity of data and experience of the modeler are important in obtaining good results.
Our journal has been unwavering commitment to showcasing cutting-edge research. The journal provides a platform for researchers to disseminate their work on next-generation technologies. In an era where innovation is the driving force behind progress, JST plays a crucial role in shaping the discourse on emerging technologies, thus contributing to their rapid development and implementation.
A simplified optimization for resource management in cognitive radio network-...IJECEIAES
With increasing evolution of applications and services in internet-of-things (IoT), there is an increasing concern of offering superior quality of service to its ever-increasing user base. This demand can be fulfilled by harnessing the potential of cognitive radio network (CRN) where better accessibility of services and resources can be achieved. However, existing review of literature shows that there are still open-end issues in this regard and hence, the proposed system offers a solution to address this problem. This paper presents a model which is capable of performing an optimization of resources when CRN is integrated in IoT using five generation (5G) network. The implementation uses analytical modeling to frame up the process of topology construction for IoT and optimizing the resources by introducing a simplified data transmission mechanism in IoT environment. The study outcome shows proposed system to excel better performance with respect to throughput and response time in comparison to existing schemes.
Novel approach for hybrid MAC scheme for balanced energy and transmission in ...IJECEIAES
Hybrid medium access control (MAC) scheme is one of the prominent mechanisms to offer energy efficiency in wireless sensor network where the potential features for both contention-based and schedule-based approaches are mechanized. However, the review of existing hybrid MAC scheme shows many loopholes where mainly it is observed that there is too much inclusion of time-slotting or else there is an inclusion of sophisticated mechanism not meant for offering flexibility to sensor node towards extending its services for upcoming applications of it. Therefore, this manuscript introduces a novel hybrid MAC scheme which is meant for offering cost effective and simplified scheduling operation in order to balance the performance of energy efficiency along with data aggregation performance. The simulated outcome of the study shows that proposed system offers better energy consumption, better throughput, reduced memory consumption, and faster processing in contrast to existing hybrid MAC protocols.
WMNs: The Design and Analysis of Fair Schedulingiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Real-World Multimedia Streaming for Software Defined Vehicular Ad Hoc NetworksIJCNCJournal
Multimedia services with required Quality of Service (QoS) is one of the most critical challenges in Software Defined Network (SDN) based Vehicular Ad-Hoc Networks (VANETs). It forms an essential part of the Intelligent Transport System (ITS), where infotainment services play an essential role. Streaming multimedia is one of the most popular applications and has a high demand for VANET infotainment services. The major issues for multimedia streaming on VANET are scalability, mobility of vehicles, frequent connection failures, frequent change in network topology, and distributed architecture with heterogeneous devices. To overcome these problems and provide a better QoS, we propose using a hybridarchitecture with a combination of VANET and SDN called Software-Defined Vehicular Networks (SDVN). This work presents a modified POX controller-based SDN framework for VANETs, especially for multimedia streaming applications in realistic traffic patterns. The proposed work has a real-world setup developed using Simulation of Urban Mobility (SUMO), where iPerf generates multimedia traffic. Also, streaming standard-definition YouTube videos in real-time between the vehicular nodes was done. The modified POX controller could take advantage of the centralised perspective of the network for action determination, and the integrated spanning tree algorithm reduced the redundancy. Despite the dynamic nature of the testing environments, the proposed Modified POX Controller consistently outperformed VANET, with up to 21 to 42% better packet delivery ratio for higher data transfer rates. The overall improvement in QoS parameters also accompanies an improvement in the consumers Quality of Experience (QoE) factors.
Real-World Multimedia Streaming for Software Defined Vehicular Ad Hoc NetworksIJCNCJournal
Multimedia services with required Quality of Service (QoS) is one of the most critical challenges in
Software Defined Network (SDN) based Vehicular Ad-Hoc Networks (VANETs). It forms an essential part
of the Intelligent Transport System (ITS), where infotainment services play an essential role. Streaming
multimedia is one of the most popular applications and has a high demand for VANET infotainment
services. The major issues for multimedia streaming on VANET are scalability, mobility of vehicles,
frequent connection failures, frequent change in network topology, and distributed architecture with
heterogeneous devices. To overcome these problems and provide a better QoS, we propose using a
hybridarchitecture with a combination of VANET and SDN called Software-Defined Vehicular Networks
(SDVN). This work presents a modified POX controller-based SDN framework for VANETs, especially for
multimedia streaming applications in realistic traffic patterns. The proposed work has a real-world setup
developed using Simulation of Urban Mobility (SUMO), where iPerf generates multimedia traffic.
Social-sine cosine algorithm-based cross layer resource allocation in wireles...IJECEIAES
Cross layer resource allocation in the wireless networks is approached traditionally either by communications networks or information theory. The major issue in networking is the allocation of limited resources from the users of network. In traditional layered network, the resource are allocated at medium access control (MAC) and the network layers uses the communication links in bit pipes for delivering the data at fixed rate with the occasional random errors. Hence, this paper presents the cross-layer resource allocation in wireless network based on the proposed social-sine cosine algorithm (SSCA). The proposed SSCA is designed by integrating social ski driver (SSD) and sine cosine algorithm (SCA). Also, for further refining the resource allocation scheme, the proposed SSCA uses the fitness based on energy and fairness in which max-min, hard-fairness, proportional fairness, mixed-bias and the maximum throughput is considered. Based on energy and fairness, the cross-layer optimization entity makes the decision on resource allocation to mitigate the sum rate of network. The performance of resource allocation based on proposed model is evaluated based on energy, throughput, and the fairness. The developed model achieves the maximal energy of 258213, maximal throughput of 3.703, and the maximal fairness of 0.868, respectively.
Energy-aware strategy for data forwarding in IoT ecosystem IJECEIAES
The Internet of Things (IoT) is looming technology rapidly attracting many industries and drawing research attention. Although the scale of IoT-applications is very large, the capabilities of the IoT-devices are limited, especially in terms of energy. However, various research works have been done to alleviate these shortcomings, but the schemes introduced in the literature are complex and difficult to implement in practical scenarios. Therefore, considering the energy consumption of heterogeneous nodes in IoT eco-system, a simple energy-efficient routing technique is proposed. The proposed system has also employed an SDN controller that acts as a centralized manager to control and monitor network services, there by restricting the access of selfish nodes to the network. The proposed system constructs an analytical algorithm that provides reliable data transmission operations and controls energy consumption using a strategic mechanism where the path selection process is performed based on the remaining energy of adjacent nodes located in the direction of the destination node. The proposed energy-efficient data forwarding mechanism is compared with the existing AODV routing technique. The simulation result demonstrates that the protocol is superior to AODV in terms of packet delivery rate, throughput, and end-to-end delay.
Insights on critical energy efficiency approaches in internet-ofthings applic...IJECEIAES
Internet-of-things (IoT) is one of the proliferated technologies that result in a larger scale of connection among different computational devices. However, establishing such a connection requires a fault-tolerant routing scheme. The existing routing scheme results in communication but does not address various problems directly linked with energy consumption. Cross layer-based scheme and optimization schemes are frequently used scheme for improving the energy efficiency performance in IoT. Therefore, this paper investigates the approaches where cross-layer-based schemes are used to retain energy efficiencies among resource-constrained devices. The paper discusses the effectivity of the approaches used to optimize network performance in IoT applications. The study outcome of this paper showcase that there are various open-end issues, which is required to be addressed effectively in order to improve the performance of application associated with the IoT system.
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...Editor IJCATR
Vehicular Ad-hoc Networks (VANET's) are basically emanated from Mobile Ad hoc networks (MANET's) in which
vehicles act as the mobile nodes, the nodes are vehicles on the road and mobility of these vehicles are very high. The main objective of
VANET is to enhance the safety and amenity of road users. It provides intelligent transportation services in vehicles with the
automobile equipment to communicate and co-ordinates with other vehicles in the same network that informs the driver’s about the
road status, unseen obstacles, internet access and other necessary travel service information’s. The evaluation of vehicular ad hoc
networks applications in based on the simulations. A Realistic Mobility model is a basic component for VANET simulation that
ensures that conclusion drawn from simulation experiments will carry through to real deployments. This paper attempts to evaluate the
performance of a Bee swarm inspired Hybrid routing protocol for vehicular ad hoc network, that protocol should be tested under a
realistic condition including, representative data traffic models, and the realistic movement of the mobile nodes which are the vehicles.
In VANET the simulation of Realistic mobility model has been generated using SUMO and MOVE software and network simulation
has been performed using NS2 simulator, we conducted performance evaluation based on certain metric parameters such as packet
delivery ratio, end-to-end delay and normalized overhead ratio.
Vehicular ad hoc networks (VANETs) have seen tremendous growth in the last decade, providing a vast
range of applications in both military and civilian activities. The temporary connectivity in the vehicles can also
increase the driver’s capability on the road. However, such applications require heavy data packets to be shared on
the same spectrum without the requirement of excessive radios. Thus, e-client approaches are required which can
provide improved data dissemination along with the better quality of services to allow heavy traffic to be easily
shared between the vehicles. In this paper, an e-client data dissemination approach is proposed which not only
improves the vehicle to vehicle connectivity but also improves the QoS between the source and the destination. The
proposed approach is analyzed and compared with the existing state-of-the-art approaches. The effectiveness of the
proposed approach is demonstrated in terms of the significant gains attained in the parameters namely, end to end
delay, packet delivery ratio, route acquisition time, throughput, and message dissemination rate in comparison with
the existing approaches.
Quality of experience aware network selection model for service provisioning...IJECEIAES
Heterogeneous wireless networks (HWNs) are capable of integrating the different radio access technologies that make it possible to connect mobile users based on the performance parameters. Further quality of service (QoS) is one of the major topics for HWNs, moreover existing radio access technology (RAT) methodology are designed to provide network QoS criteria. However, limited work has been carried out for the RAT selection mechanism considering user QoS preference and existing models are developed based on the multi-mode terminal under a given minimal density network. For overcoming research issues this paper present quality of experience (QoE) RAT (QOE-RAT) selection methodology, incorporating both network performance criteria and user preference considering multiple call and multi-mode HWNs environment. First, this paper presents fuzzy preference aware weight (FPAW) and multi-mode terminal preference aware TOPSIS (MMTPA-TOPSIS) for choosing the best RAT for gaining multiservices. Experiment outcomes show the QOE-RAT selection method achieves much superior packet transmission outcomes when compared with state-of-art Rat selection methodologies.
FDMC: Framework for Decision Making in Cloud for EfficientResource Management IJECEIAES
An effective resource management is one of the critical success factors for precise virtualization process in cloud computing in presence of dynamic demands of the user. After reviewing the existing research work towards resource management in cloud, it was found that there is still a large scope of enhancement. The existing techniques are found not to completely utilize the potential features of virtual machine in order to perform resource allocation. This paper presents a framework called FDMC or Framework for Decision Making in Cloud that gives better capability for the VMs to perform resource allocation. The contribution of FDMC is a joint operation of VM to ensure faster processing of task and thereby withstand more number of increasing traffic. The study outcome was compared with some of the existing systems to find FDMC excels better performance in the scale of task allocation time, amount of core wasted, amount of storage wasted, and communication cost.
Construction Management (CM) has to deal with a variety of uncertainties related to Time, Cost, Quality, and Safety, to name a few. Such uncertainties make the entire construction process highly unpredictable. It, therefore, falls under the purview of artificial neural networks (ANNs) in which the given hazy information can be effectively interpreted in order to arrive at meaningful conclusions. This paper reviews the application of ANNs in construction activities related to the prediction of costs, risk, and safety, tender bids, as well as labor and equipment productivity. The review suggests that the ANN’s had been highly beneficial in correctly interpreting inadequate input information. It was seen that most of the investigators used the feed forward back propagation type of the network; however, if a single ANN architecture was found to be insufficient, then hybrid modeling in association with other machine learning tools such as genetic programming and support vector machines were much useful. It was however clear that the authenticity of data and experience of the modeler are important in obtaining good results.
Our journal has been unwavering commitment to showcasing cutting-edge research. The journal provides a platform for researchers to disseminate their work on next-generation technologies. In an era where innovation is the driving force behind progress, JST plays a crucial role in shaping the discourse on emerging technologies, thus contributing to their rapid development and implementation.
A simplified optimization for resource management in cognitive radio network-...IJECEIAES
With increasing evolution of applications and services in internet-of-things (IoT), there is an increasing concern of offering superior quality of service to its ever-increasing user base. This demand can be fulfilled by harnessing the potential of cognitive radio network (CRN) where better accessibility of services and resources can be achieved. However, existing review of literature shows that there are still open-end issues in this regard and hence, the proposed system offers a solution to address this problem. This paper presents a model which is capable of performing an optimization of resources when CRN is integrated in IoT using five generation (5G) network. The implementation uses analytical modeling to frame up the process of topology construction for IoT and optimizing the resources by introducing a simplified data transmission mechanism in IoT environment. The study outcome shows proposed system to excel better performance with respect to throughput and response time in comparison to existing schemes.
Novel approach for hybrid MAC scheme for balanced energy and transmission in ...IJECEIAES
Hybrid medium access control (MAC) scheme is one of the prominent mechanisms to offer energy efficiency in wireless sensor network where the potential features for both contention-based and schedule-based approaches are mechanized. However, the review of existing hybrid MAC scheme shows many loopholes where mainly it is observed that there is too much inclusion of time-slotting or else there is an inclusion of sophisticated mechanism not meant for offering flexibility to sensor node towards extending its services for upcoming applications of it. Therefore, this manuscript introduces a novel hybrid MAC scheme which is meant for offering cost effective and simplified scheduling operation in order to balance the performance of energy efficiency along with data aggregation performance. The simulated outcome of the study shows that proposed system offers better energy consumption, better throughput, reduced memory consumption, and faster processing in contrast to existing hybrid MAC protocols.
WMNs: The Design and Analysis of Fair Schedulingiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Real-World Multimedia Streaming for Software Defined Vehicular Ad Hoc NetworksIJCNCJournal
Multimedia services with required Quality of Service (QoS) is one of the most critical challenges in Software Defined Network (SDN) based Vehicular Ad-Hoc Networks (VANETs). It forms an essential part of the Intelligent Transport System (ITS), where infotainment services play an essential role. Streaming multimedia is one of the most popular applications and has a high demand for VANET infotainment services. The major issues for multimedia streaming on VANET are scalability, mobility of vehicles, frequent connection failures, frequent change in network topology, and distributed architecture with heterogeneous devices. To overcome these problems and provide a better QoS, we propose using a hybridarchitecture with a combination of VANET and SDN called Software-Defined Vehicular Networks (SDVN). This work presents a modified POX controller-based SDN framework for VANETs, especially for multimedia streaming applications in realistic traffic patterns. The proposed work has a real-world setup developed using Simulation of Urban Mobility (SUMO), where iPerf generates multimedia traffic. Also, streaming standard-definition YouTube videos in real-time between the vehicular nodes was done. The modified POX controller could take advantage of the centralised perspective of the network for action determination, and the integrated spanning tree algorithm reduced the redundancy. Despite the dynamic nature of the testing environments, the proposed Modified POX Controller consistently outperformed VANET, with up to 21 to 42% better packet delivery ratio for higher data transfer rates. The overall improvement in QoS parameters also accompanies an improvement in the consumers Quality of Experience (QoE) factors.
Real-World Multimedia Streaming for Software Defined Vehicular Ad Hoc NetworksIJCNCJournal
Multimedia services with required Quality of Service (QoS) is one of the most critical challenges in
Software Defined Network (SDN) based Vehicular Ad-Hoc Networks (VANETs). It forms an essential part
of the Intelligent Transport System (ITS), where infotainment services play an essential role. Streaming
multimedia is one of the most popular applications and has a high demand for VANET infotainment
services. The major issues for multimedia streaming on VANET are scalability, mobility of vehicles,
frequent connection failures, frequent change in network topology, and distributed architecture with
heterogeneous devices. To overcome these problems and provide a better QoS, we propose using a
hybridarchitecture with a combination of VANET and SDN called Software-Defined Vehicular Networks
(SDVN). This work presents a modified POX controller-based SDN framework for VANETs, especially for
multimedia streaming applications in realistic traffic patterns. The proposed work has a real-world setup
developed using Simulation of Urban Mobility (SUMO), where iPerf generates multimedia traffic.
Social-sine cosine algorithm-based cross layer resource allocation in wireles...IJECEIAES
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Network Resource Allocation Security Techniques and Challenges for Vehicular Communication Network Management
1. 1
Network resource Allocation security techniques and challenges for Vehicular
Communication Network Management
Vartika Agarwal1*
, Sachin Sharma2
, Gagan Bansal3
Graphic Era Deemed to be University, Dehradun, India
*vartikaagarwal_20942026.cse@geu.ac.in
Abstract- Internet of things describes the network of physical objects such as sensors,
receivers, transmitters and other technologies which are used in VCN. In Vehicular
communication network two or more vehicles are communicate with each other. VCN use
advanced technologies to solve transportation related problems like long traffic delays, road
accidents and air pollution. IOT based technologies make vehicular network smart. In this
paper we reviewed about network resource allocation security techniques, challenges and
also discuss how we can make vehicular communication network smarter. We reviewed
about different models and schemes for V2V communication. These schemes were developed
to ensure a fair, efficient and transparent allocation of resource in an intelligent transportation
system.
Keywords – Vehicular Communication Network (VCN), Network Resource Allocation
(NRA).
1 Introduction
Allocation means assignment of available resources for the best use. In vehicular communication
network there are various resources such as sensor, transmitter, receiver which plays a major role in
vehicular communication network. Such resources are helpful for avoiding any accident etc. There
are various resource allocation models which is responsible for vehicular communication
• Peer-To-Peer System Model – In vehicular communication Network, there are a number of
resources. Such resources help to transfer message from one vehicle to another. Peer to peer system
model consist of task allocated to the resources and time taken by the resources to accomplish their
task successfully.
2. 2
Fig. 1. Communication between Vehicles
In Fig. 1, there are 6 vehicles. Each vehicle contains sensors and receiver. Sensor and receiver are
basically used for message passing among vehicles. They share message among traffic jams,
accident etc. Peer to peer system model consist of n number of vehicles and n number of resources
which plays an important role in communication process.
• Rule Based Resource Allocation Model - This method focusses on time allocation and effective
use of resources. In this model, tasks are allocated to the resources on the basis of priority. This
model uses queuing system. For example – In vehicular communication network, firstly task is
allocated to the sensor, sensor have to provide response immediately if vehicle comes in dangerous
situation.
• Resource allocation for controlling of Congestion – When multiple tasks are allocated to the same
resources, chances of congestion will take place. So we have to use congestion control method for
efficient use of resources.
These resource allocation methods are used for proper communication between vehicles. These
methods make resource allocation effective and efficient.
Structure of paper is as follows: This paper has following sections
Section 2 examines about the connected work which involved in resource allocation process. Section
3 explains the overview of vehicular communication network. Section 4 represent the vehicular
communication network properties and Section 5 represent the requirements of Network Resource
Allocation for Vehicular Communication Network Management. Section 6 explain importance of
VCN and Section 7 highlight internet of things in VCN. Section 8 describe challenges of network
resource allocation techniques. Section 9 represent the techniques used for network resource
allocation. Section 10 shows the comparative study of different resource allocation scheme. Section
11 conclude the importance of resource allocation in vehicular communication networks.
3. 3
2 Literature Review
In 2010, Alia Asheralieva investigate about predictive resource allocation technique to predict
network loading. Such algorithm can find out changes in feature of traffic. Main objective of this
algorithm is to increase power consumption [1]. In 2012, Andres Farragut study about network
resource allocation schemes that manage multiple connections through different routes. This
schemes are implemented in NS2 and able to solve stability and fairness related issues [2]. In 2014,
Farshad Shams reviewed about radio resource allocation techniques such as OFDM and OFDMA
systems with its advantage and disadvantage. These techniques focus on energy efficient
approaches. They highlight difference between different radio resource allocation schemes for better
throughput [3]. In 2014, Georgios highlight cognitive radio networks. They proposed on dynamic
resource allocation technique and discuss about game theory, linear programming as well as fuzzy
logic [4]. In 2015, Hoon Lee focus on multi-user wireless powered communication networks. They
proposed an algorithm for energy and time allocations. There algorithm provide better performance
as compared to other conventional techniques [5]. In 2015, Wei Wu examined about the problem of
secrecy outage probability minimization. They design the energy efficient and secure NOMA based
MEC network. This network provides better throughput in comparison of other networking models
[6]. In 2016, Sanjeevi pandiyan present a review on energy consumption. they highlight difficulties
occur in existing energy reduction method. They compare different energy consumption techniques
with their advantage and disadvantage [7]. In 2017, Belen Bermejo highlight important concept
regarding energy consumption optimization. These concepts enable effective and efficient resource
management [8]. In 2017, Quingyang propose the concept of proportional share resource allocation
algorithm. They increased the network throughput and share network resources with other users [9].
In 2017, Le Liang proposed spectrum sharing and power allocation technique for reliable
communication between vehicles and maximize the throughput of V2V communication. [10]. In
2019, Wei Wu investigate about NOMA based MEC networks. Goal of this network is to reduce
consumption of energy. Experimental results are used to validate accuracy and correctness of system
[11]. In 2020, Steffi Jaya kumar proposed various resource allocation schemes for improving the
performance of device to device communication. This schemes enable high-speed data transmission,
information transmission as well as improve the system performance [12]. In 2020, Sahrish khan
Tayyaba proposed flow based policy framework on the source of software defined networking.
Some deep learning algorithm such as LSTM, DNN and CNN are used in their research [13]. In
2020, Xuemei Li review about resources used in IOT. It highlights network resource allocation
techniques such as RFID, Cache, Wireless etc. which are used in internet of things [14]. In 2020,
Steffi Jayakumar analyze and evaluate different methodologies used for resource allocation they
find out the research difficulties and drawn strong conclusion about device to device communication
[15]. In 2020, Bodhaswar TJ Maharaj analyse highly resource allocation models for cognitive radio
networks. These models are built for the hybrid architecture which is the most common technique
in CR networks [16]. In 2020, J Praveenchandar proposed an efficient dynamic resource allocation
algorithm to improve the efficiency of resource allocation. This algorithm reduce power
consumption & provide better result as compared to other techniques [17]. In 2021, Kurdistan Wns
introduced process of allocating workload among multiple resources. They use different resource
allocation algorithm for 5G networks. Various resource allocation techniques are used in distributed
system [18]. In 2021, Arwa Mohamed present a review paper on allocation of resources. They
highlight operations of virtual machine, traffic Performance as well as conservation of energy. [19]
In 2021, Vartika Agarwal highlight the different scheduling techniques in vehicular communication
networks. These techniques help to plan the whole process in advance. [20]. In 2021, Miao Zhang
investigate about power allocation schemes. Neural network is used to solve power allocation
problem. This approach provide 95% accurate results as compared to other algorithms [21]. In 2021,
Vartika Agarwal highlight the different technologies such as Lifi, LORAWAN, VANET and RFID.
These technologies help in vehicle to vehicle communication. This paper reviewed about
comparison in these different technologies [22]. In 2021, Vartika Agarwal reviewed about internet
of things in transport management system. Such technology reduces road traffic and accidents [23].
In 2021, Vartika et al. investigate the deep learning techniques to solve radio resource issue in VCN.
4. 4
[24]. In 2021, Fan Liang introduce a Deep learning based technique for utilization of bandwidth in
IOT based system. They perform various experimental results for efficiency of system. This scheme
can improve efficiency of energy as compared to other schemes [25]. In 2021, Mariem Allouch
reviewed about emerging technologies in radio resource management scheme. These technologies
are cellular vehicle to everything, device to device communication etc. They highlight many
algorithms to address resource allocation issue. [26]. In 2021, Heena wadhwa designed a novel
approach for allocation of resources. This approach is used to ensure resource optimization at bottom
layer. IFogSim simulator is used for simulation of this scheme. This scheme minimize time of
execution as well as consumption of energy and network [27]. In 2021, Yanmei Cao proposed a
deep Q-Learning based scheme for resource allocation. This scheme maximize the throughput and
achieve high system spectrum efficiency [28]. In 2021, Muhammad Ali Jamshed propose a novel
electromagnetic field scheme and K means approach to control the resource allocated to the number
of users. This schemes makes resource allocation process more effective and efficient [29]. In 2021,
Sumarga kumar shah tyagi propose a distributed artificial intelligence approach for resource
allocation. This scheme is based on Bayesian neural network and back-propagation neural network
[30].
3 Overview of Vehicular Communication Network
Vehicular Communication Network is a network which shared information between different
vehicles. Goal of VCN is to allow different vehicles to communicate with their drivers, roadside
infrastructures, pedestrian and fleet management systems. In this concept, every vehicle is turned a
smart node on the highway, with its own compute, storage and networking capability. Vehicular
communication network is important because it reduce accidents and traffic jams. Some statistical
data represents that the main reason of road accidents are human mistake. These accidents can be
reduced if driver had been warned half second beforehand. This could be done with the help of
vehicular communication networks. It provides communication among vehicles with an onboard unit
and nearby roadside unit (Fig.2).
5. 5
Fig. 2. Vehicular Communication Network
Vehicular Communication network offer following benefits
i. Cost Reduction – Many IOT devices are used in vehicular communication network. These
devices are responsible for communication between vehicles. Sensors, transmitter, receiver are
used for message passing between vehicles.
ii. Efficiency – IOT devices increase efficiency of whole processes in vehicular communication
network. These devices warn driver about any mishappenings or suggest shortest route for
reaching the destination quickly.
iii. Mobility and agility - IOT devices helps to track vehicle from any location. This technology
helps to reduce crime and help to improve traffic congestion.
iv. Security – IOT devices are highly secure and safe. These devices validate that message between
vehicles has not been modified during transmission process.
v. Save Time – IOT devices save time of passenger by informing advance about the current
situation of road.
vi. Boost Productivity - Resource allocation gives a clear picture about work done by resources
for vehicular communication. It increases productivity.
vii. Changes in order of resources - If any resource does not work properly in run time situation.
we can change the order of resources.
viii. Effectiveness - Resource allocation makes vehicular communication process effective and
significant. IOT devices are responsible for proper execution of whole communication process.
4 Properties of Vehicular Communication Network
Following properties of vehicular communication network makes communication process more
effective and efficient (Fig.3).
6. 6
Fig. 3. Properties of Vehicular Communication Network
Scalability: It is needed for proper communication between vehicles. Sometimes large no
of vehicles passing through the network may be higher. In case of an emergency situations,
driver have to take decision very fast. He has to receive information from trustworthy
sources and network should be scalable.
Privacy: In vehicular communication network, there is a need to be care of owner’s
information such as their address, vehicle registration no etc. driver have to use public key
encryption technique for sharing information with other vehicles.
Robustness: In vehicular communication network, there are some malicious nodes which
modify the information and misguide the network. network have to identify such nodes
and remove it from the network.
Information Sparsity: It means weightage of information. Information which has highest
priority should be delivered first.
Mobility: The mobility of vehicular communication networks is too high. mobility is an
important feature that plays a major role in this network. It reduces communication time
in the network.
Safety: VCN enhance the safety of the driver, passenger comfort and improve the flow of
traffic. Main benefit of VCN is that vehicles can communicate directly with another
vehicle through sensors, transmitter, receiver etc.
Frequent network connection: Important property of vehicular communication network
is frequent network connection. This network avoid any disconnection between
communicating vehicles due to weather conditions or other issues.
No power limitation : In vehicular communication network, vehicles can communicate
through transmitter, receiver etc. So there is no need of power or long lasting battery just
like vehicular adhoc network.
Strength of Network: In vehicular communication network, strength of network is
depend upon the flow of traffic. If there is a traffic Jam, it can be high otherwise it can be
low.
Large Computational processing: For VCN, vehicles should be embedded with sensors,
transmitter, receiver, Global positioning system, antenna etc. These resources provide
7. 7
reliable communication to obtain the exact information about speed, position and location
of another vehicle.
Decrease Travel Time : Through VCN, we can find the shortest route for reaching the
destination quickly. It reduce travel time and increase passenger comfort.
Process Real Time Data: Main motive of VCN is to avoid traffic and process real time
data. It can be save time and fuel. VCN update their data from time to time so that user
can get current information.
5 Requirements of Network Resource Allocation for Vehicular Communication
Network Management
Vehicular Communication Network exhibits how resources have been allocated over the network.
Vehicular network consists of transforming vehicles into an intelligent mobile entity that are able to
interact with roadside units, Today, due to high Urbanizations, there are problems associated with
road networks. New technologies and systems have been developed that can change way of life and
example is VCN.VCN establish communication between vehicles and other road side entities. It
saves money, ensure safety and reduce environmental impact as well as traffic congestion. Trend of
vehicular communication network has increased with the enhancement in technologies and
development of smart capitals across the country. VCN has a major impact in traffic services
enhancement as well as reducing road accidents. Information shared in VCN are robust and secured
but sometimes its security is being interrupted by different types of attackers.
6 Importance of Vehicular Communication Network
Vehicular Communication Network allow a wide range of applications such as
Collisions prevention
It gives post-crash notification.
Traffic optimization
Inter-vehicle communication,
Intelligent traffic system
Vehicular communication network can help you to find an alternative route to your destination if
there is traffic on one route.
Use of Vehicular communication network was to provide safety and comfort to drivers in vehicular
environments.
E-ZPass is a very good example of a payment service application of vehicular communication
network
Vehicular communication network could help in preventing crime by reporting on-demand.
Traffic signal violation warning.
7 IOT in Vehicular Communication Network
Internet of things plays major role in vehicular communication network. IOT devices makes
communication process more effective. In Fig. 4, we can see that there is an application server which
is used to maintain the record of whole communication process. There is a network which is used to
connect vehicles from other road side units. Sensors are basically used to find the speed and location
of vehicles. Transmitters are very effective for vehicular communication network because it
transmits information from one vehicle to another vehicle.
8. 8
Fig. 4. IOT Devices in Vehicular Communication Network
IOT enables vehicular communication network where large number of sensors are connected with
each other for sharing status about vehicle.
IOT devices detect collision in advance and avoid any mishappenings.
IOT devices help drivers to know in advance about the road condition, traffic jams etc.
IOT devices enhance safety and security of passengers by sharing information at right time.
IOT devices use advanced technologies to solve problem related to transportation like long traffic
delays, road accidents etc.
IOT devices can monitor traffic jams, animals on road, car accidents. These devices improve the
quality of life, safety, security. Vehicular network offers a range for monitoring and data sharing on
various aspects of traffic so, vehicles can share different kind of data.
Vehicles are now moving towards becoming computer on wheels. Through IOT devices there will
be vehicle-to-vehicle and vehicle-to-roadside communication has been proposed for enhancing
safety. It is the foundation of Intelligent traffic system.
8 Challenges of Network Resource Allocation security techniques
There are different challenges which occurred in vehicular communication process. We have to work
on them for providing secure and reliable network (Fig.5).
9. 9
Fig. 5. Challenges of Network Resource Allocation Security Techniques
• Security Attacks - Since vehicles are completely dependent on their resources for all
aspects of their operation, they are vulnerable to a broad spectrum of cyber security attacks.
For solving security issue, communication efficiency, we have to design a smart vehicular
communication network because present system lacks security and reliability.
• Risk for lives of Passengers or Drivers - Sometimes sensors are not working properly, In
this case, missing information place the lives of drivers or passengers at risk.
• Computational Performance is limited – Computational performance of vehicle is limited
as compared to the computer. As a result, vehicles are more likely to be hacked than
computers.
• Unpredictable Attack Scenarios – A vehicular communication network has different entry
points. attacks are continually being developed, automakers will find it difficult to predict
the information about hackers.
• Insufficient Testing – In Vehicular communication network, concept of cryptography can
be used for sharing information between vehicles. But sometimes this technique destroy the
authenticity of an information. Means hackers may be able to find this information and
misuse it.
• Phishing Attacks – Phishing is a tricking attempt to obtain credentials of users. In VCN,
hackers send wallet key and steal information of an author using false hypelinks.
• Sybil Attack - In a Sybil attack, hackers crash the system using false network identities.
• Routing Attack- In routing attack, attackers tries to interrupt the information and extracted
confidential data .
10. 10
9 Network Resource Allocation Security Techniques
There are different network based resource allocation security techniques which is responsible for
Faster communication between vehicles (Fig.6).
Fig. 6. Network Resource Allocation Security Techniques
• Optimization – Optimization of resource allocation means efficient resource utilization for
an environmental safety. This scheme improved the throughput by increasing the use of
virtual and physical resources. In vehicular communication network, sometimes we have to
use additional resources due to problem occur in run time situation. Such resources are
responsible for proper flow of whole communication process.
• Resource Utilization – Main objective of resource utilization means proper allocation of
resources among the tasks for efficient resource utilization and at the same time minimize
the operational consumption of data centers. It is the measurement of effectiveness of
resources.
• Quality of Service – Main objective of this technique is to accomplish resource requirement
of vehicular communication networks such as speed, stability etc. This technique minimizes
response time.
11. 11
• Predictive resource allocation technique - This technique is based on prediction of
network loading. It analyses the uncertainty which occur during communication process
and improving the network stability.
• Energy and time resource allocation technique - This technique is based on optimizing
energy and time resource allocation . In Vehicular communication network, multiple drivers
can communicate with multiple vehicles. This scheme maximize the speed of
communication among vehicles.
• Distributed Resource Allocation Algorithm – In this algorithm various types of base
stations such as heterogeneous cellular networks, macrocell base stations are used for
communication between vehicles. This scheme enhances throughput and focus on security
aspect of communication process.
• Direction method of multiplier algorithm – This scheme is able to resolve the problem
of resource allocation in software defined network architecture. This scheme focus on
privacy aspect of communication process.
• Sub-gradient based resource allocation algorithm – This scheme is able to achieve
resource allocation in heterogenous network.
10 Comparative Study and Discussion
Table 1. Comparative study
Author Proposed Scheme Advantage Future Scope
Alia Asheralieva et
al [1]
Predictive Resource
Allocation
Technique
This technique can
improve policies of
network resource
allocation in radio
network.
We can enhance this
technique by using
different kinds of
traffic generators.
Georgios I.
Tsiropoulos et al [4]
Cognitive radio
network in resource
allocation technique
This technique uses
the unused portion
of spectrum and
allocate to the user.
We can add more
parameters including
adaptability,
reconfigurability,
energy efficiency in
cognitive radio
network
Hoon Lee et al [5] Energy and Time
resource allocation
Scheme
This scheme offer
30% average sum
rate performance
over other schemes
Improve its
performance by adding
concept of wireless
powered
communication
network
QINGYANG
SONG et al [9]
Distributed
Resource
Allocation
algorithm
Enhance network
throughput with the
help of
heterogenous
cellular network.
We can improve this
scheme by increasing
resource utilization.
12. 12
Hama Ali et al [17] Direction method
for multiplier
algorithm
Solving resource
allocation problem
in software defined
networking
environment.
We can improve the
cost of implementation
and application.
Zhang et al [31] Proposed resource
allocation
optimization
Scheme for
distributed joint
computation.
Reduce power
consumption
Energy efficiency and
data rates are
significantly
improved.
Deng et al [32] Proposed
Distributed Sub-
gradient Scheme
Solving resource
allocation problem
in heterogenous
networks.
We can explore this
scheme for better
throughput.
Kim et al [33] Design a resource
allocation controller
Decrease upto 45%
latency and
maintaining the
QOS of application.
We can improve this
scheme by maintaining
operational request
rate.
Toporkov et al [34] General Window
allocation algorithm
Maintaining non-
dedicated and
heterogenous
resources.
We can refine this
algorithm to decrease
the computational
complexity
Wang et al [35] Distributed
continuous time
algorithm
Minimize cost
function
We can achieve better
result if we can use
energy storage system
in grid connected
battery.
13. 13
11 Conclusion and Future Scope
In our research, we discuss about vehicular communication network. Its importance,
properties, advantage, limitations, challenges etc. After conducting comparative study we
can understand that Vehicular communication network is distributed network. It enhances
the safety features while driving. It enable different vehicles to communicate with each
other. It reduces accidents. It help us to know about current situation of road so that we can
search next route for destination. It warns the driver about any mishappenings. In future,
we need to make vehicular communication network smarter because present system lacks
data reliability, security and easy deployment.
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