A Mobile Service Architecture for Improving Availability and ContinuityPhearin Sok
This document proposes a mobile service architecture to improve availability and continuity of services. It aims to enable discovery and consumption of equivalent services across different networks and technologies. The key components are a generic service interface, continuity agent, service discovery agent, and profile agent on the user's device, along with a continuity server, service infobase registry, and event service in the network system. The architecture allows seamless switching between services like phone and VoIP to maintain ongoing access based on location, user preferences, and service availability. An implementation switches between native and VoIP calling applications on a device.
Various Techniques Used in Wireless Sensor Networks for Data TransferIJAEMSJORNAL
The document discusses various techniques used for data transfer in wireless sensor networks, including different transport layer protocols and their characteristics such as PSFQ, ESRT, and DST. It also examines challenges for data transfer in WSNs like packet loss and energy depletion. Additionally, the document analyzes reliability mechanisms in WSNs including retransmission, redundancy, and erasure coding schemes like RDTS and FBcast.
11.[1 5]comparative analysis of qo s-aware routing protocols forAlexander Decker
This document summarizes and compares several QoS-aware routing protocols for wireless sensor networks. It discusses protocols that aim to optimize metrics like energy efficiency, bandwidth consumption, and delay while ensuring QoS requirements are met. Specific protocols surveyed include ones that perform optimal energy allocation, support both real-time and non-real-time traffic, and achieve reliable event detection through congestion control and adjusting reporting frequencies. The document concludes these types of QoS-aware routing protocols are promising for energy-efficient wireless sensor network applications.
11.comparative analysis of qo s aware routing protocols forAlexander Decker
This document summarizes and compares several QoS-aware routing protocols for wireless sensor networks. It discusses protocols that aim to optimize metrics like energy efficiency, bandwidth consumption, and delay while ensuring QoS. Specifically, it examines QoS-Aware Routing, which supports QoS through optimal energy allocation but relies on source traffic control. Energy and QoS-Aware Routing enhances throughput and delays but can waste energy through improper service rate adjustment. Event-to-sink Reliable Transport minimizes energy use by adjusting reporting rates to maintain reliable detection, though regulating all sensors uniformly may not work for heterogeneous networks. Overall, the document analyzes how these protocols approach supporting QoS requirements in wireless sensor networks
Efficient processing of spatial range queries on wireless broadcast streamsijdms
With advances in wireless networks and hand-held computing devices equipped with location sensing
capability (e.g., PDAs, laptops, and smart phones), a large number of location based services (LBSs) have
been successfully deployed. In LBSs, wireless broadcast is an efficient method to support the large number
of users. In wireless broadcast environment, existing research proposed to support range queries search,
may tune into unnecessary indexes or data object. This paper addresses the problem of processing range
queries on wireless broadcast streams. In order to support range queries efficiently, we propose a novel
indexing scheme called Distributed Space-Partitioning Index (DSPI). DSPI consists of hierarchical grids
that provide mobile clients with the global view as well as the local view of the broadcast data. The
algorithm for processing range queries based on DSPI is also proposed. Simulation experiments
demonstrate DSPI is superior to the existing index schemes.
MANET ROUTING PROTOCOLS ON NETWORK LAYER IN REALTIME SCENARIOIJCI JOURNAL
A Mobile Ad hoc Network comprises of a group of mobile nodes that are connected in wireless medium
and they dynamically form a self-organizing mobile network for temporary period of time. Due to ease of
deployment, MANET is very effective in situations where it is difficult to create infrastructure based
network. Nodes in a MANET are self configured and self governed without being controlled by any central
administrator. Mobile Adhoc Network (MANET) has always been a rising technology which supports real
time multimedia transmission service, a common trend in current communication technology that uses
maximum real time applications with dynamic mobility of the mobile devices. Offering Quality of Service is
also an important parameter during communication in real time scenario.Many routing protocols for
Mobile Adhoc Network Supporting Real Time Applications have been developed, basic intention being
maximum utilization of resource in resource constraint environment, minimum power consumption using
limited residual battery power of the highly movable mobile nodes. This paper presents an intensive study
and analysis of MANET based effective routing protocols and secondly, it provides report on comparative
analysis of efficient real time supported protocols based on power consumption, delay analysis and packet
delivery ratio.
Improvement of Quality of Service Parameters in Dynamic and Heterogeneous WBANijeei-iaes
With growth in population and diseases, there is a need for monitoring and curing of patients with low cost for various health issues. Due to life threatening conditions, loss-free and timely sending of data is an essential factor for healthcare WBAN. Health data needs to transmit through reliable connection and with minimum delay, but designing a reliable, and congestion and delay free transport protocol is a challenging area in Wireless Body Area Networks (WBANs). Generally, transport layer is responsible for congestion control and reliable packet delivery. Congestion is a critical issue in the healthcare system. It not only increases loss and delay ratio but also raise a number of retransmissions and packet drop rates, which hampers Quality of Service (QoS). Thus, to meet the QoS requirements of healthcare WBANs, a reliable and fair transport protocol is mandatory. This motivates us to design a new protocol, which provides loss, delay and congestion free transmission of heterogeneous data. In this paper, we present a Dynamic priority based Quality of Service management protocol which not only controls the congestion in the network but also provides a reliable transmission with timely delivery of the packet.
The document proposes implementing a dynamic process migration mechanism for WSO2 Stratos. It identifies that Stratos needs this capability for dynamic load distribution, fault tolerance, and avoiding idle nodes. The proposed approach involves monitoring processes, calculating migration costs, and incorporating migration into the load balancing. It reviews relevant literature on process migration, algorithms, load balancing, checkpointing and discusses how these apply and differ from the requirements for Stratos. The methodology is to use process and migration monitors working with the load balancer to schedule processes dynamically based on system load.
A Mobile Service Architecture for Improving Availability and ContinuityPhearin Sok
This document proposes a mobile service architecture to improve availability and continuity of services. It aims to enable discovery and consumption of equivalent services across different networks and technologies. The key components are a generic service interface, continuity agent, service discovery agent, and profile agent on the user's device, along with a continuity server, service infobase registry, and event service in the network system. The architecture allows seamless switching between services like phone and VoIP to maintain ongoing access based on location, user preferences, and service availability. An implementation switches between native and VoIP calling applications on a device.
Various Techniques Used in Wireless Sensor Networks for Data TransferIJAEMSJORNAL
The document discusses various techniques used for data transfer in wireless sensor networks, including different transport layer protocols and their characteristics such as PSFQ, ESRT, and DST. It also examines challenges for data transfer in WSNs like packet loss and energy depletion. Additionally, the document analyzes reliability mechanisms in WSNs including retransmission, redundancy, and erasure coding schemes like RDTS and FBcast.
11.[1 5]comparative analysis of qo s-aware routing protocols forAlexander Decker
This document summarizes and compares several QoS-aware routing protocols for wireless sensor networks. It discusses protocols that aim to optimize metrics like energy efficiency, bandwidth consumption, and delay while ensuring QoS requirements are met. Specific protocols surveyed include ones that perform optimal energy allocation, support both real-time and non-real-time traffic, and achieve reliable event detection through congestion control and adjusting reporting frequencies. The document concludes these types of QoS-aware routing protocols are promising for energy-efficient wireless sensor network applications.
11.comparative analysis of qo s aware routing protocols forAlexander Decker
This document summarizes and compares several QoS-aware routing protocols for wireless sensor networks. It discusses protocols that aim to optimize metrics like energy efficiency, bandwidth consumption, and delay while ensuring QoS. Specifically, it examines QoS-Aware Routing, which supports QoS through optimal energy allocation but relies on source traffic control. Energy and QoS-Aware Routing enhances throughput and delays but can waste energy through improper service rate adjustment. Event-to-sink Reliable Transport minimizes energy use by adjusting reporting rates to maintain reliable detection, though regulating all sensors uniformly may not work for heterogeneous networks. Overall, the document analyzes how these protocols approach supporting QoS requirements in wireless sensor networks
Efficient processing of spatial range queries on wireless broadcast streamsijdms
With advances in wireless networks and hand-held computing devices equipped with location sensing
capability (e.g., PDAs, laptops, and smart phones), a large number of location based services (LBSs) have
been successfully deployed. In LBSs, wireless broadcast is an efficient method to support the large number
of users. In wireless broadcast environment, existing research proposed to support range queries search,
may tune into unnecessary indexes or data object. This paper addresses the problem of processing range
queries on wireless broadcast streams. In order to support range queries efficiently, we propose a novel
indexing scheme called Distributed Space-Partitioning Index (DSPI). DSPI consists of hierarchical grids
that provide mobile clients with the global view as well as the local view of the broadcast data. The
algorithm for processing range queries based on DSPI is also proposed. Simulation experiments
demonstrate DSPI is superior to the existing index schemes.
MANET ROUTING PROTOCOLS ON NETWORK LAYER IN REALTIME SCENARIOIJCI JOURNAL
A Mobile Ad hoc Network comprises of a group of mobile nodes that are connected in wireless medium
and they dynamically form a self-organizing mobile network for temporary period of time. Due to ease of
deployment, MANET is very effective in situations where it is difficult to create infrastructure based
network. Nodes in a MANET are self configured and self governed without being controlled by any central
administrator. Mobile Adhoc Network (MANET) has always been a rising technology which supports real
time multimedia transmission service, a common trend in current communication technology that uses
maximum real time applications with dynamic mobility of the mobile devices. Offering Quality of Service is
also an important parameter during communication in real time scenario.Many routing protocols for
Mobile Adhoc Network Supporting Real Time Applications have been developed, basic intention being
maximum utilization of resource in resource constraint environment, minimum power consumption using
limited residual battery power of the highly movable mobile nodes. This paper presents an intensive study
and analysis of MANET based effective routing protocols and secondly, it provides report on comparative
analysis of efficient real time supported protocols based on power consumption, delay analysis and packet
delivery ratio.
Improvement of Quality of Service Parameters in Dynamic and Heterogeneous WBANijeei-iaes
With growth in population and diseases, there is a need for monitoring and curing of patients with low cost for various health issues. Due to life threatening conditions, loss-free and timely sending of data is an essential factor for healthcare WBAN. Health data needs to transmit through reliable connection and with minimum delay, but designing a reliable, and congestion and delay free transport protocol is a challenging area in Wireless Body Area Networks (WBANs). Generally, transport layer is responsible for congestion control and reliable packet delivery. Congestion is a critical issue in the healthcare system. It not only increases loss and delay ratio but also raise a number of retransmissions and packet drop rates, which hampers Quality of Service (QoS). Thus, to meet the QoS requirements of healthcare WBANs, a reliable and fair transport protocol is mandatory. This motivates us to design a new protocol, which provides loss, delay and congestion free transmission of heterogeneous data. In this paper, we present a Dynamic priority based Quality of Service management protocol which not only controls the congestion in the network but also provides a reliable transmission with timely delivery of the packet.
The document proposes implementing a dynamic process migration mechanism for WSO2 Stratos. It identifies that Stratos needs this capability for dynamic load distribution, fault tolerance, and avoiding idle nodes. The proposed approach involves monitoring processes, calculating migration costs, and incorporating migration into the load balancing. It reviews relevant literature on process migration, algorithms, load balancing, checkpointing and discusses how these apply and differ from the requirements for Stratos. The methodology is to use process and migration monitors working with the load balancer to schedule processes dynamically based on system load.
Data transmission involves sending digital or analog data over a communication medium between computing networks. It relies on two key factors: the quality of the transmitted signal and the characteristics of the transmission medium such as bandwidth, cost, and ease of installation. Concepts and terminology in data transmission refer to the transmission path between a transmitter and receiver either through a direct link with no intermediate devices, or a multipoint guided configuration where more than two devices share the same transmission medium.
Data Retrieval Scheduling For Unsynchronized Channel in Wireless Broadcast Sy...IJERA Editor
Wireless data broadcast is a disseminating data into large number of mobile clients. In many information services, the users may query multiple data items at a time. The environment under consideration is asymmetric in that the information server has much more bandwidth available, as compared to the clients. To maximize the number of downloads given a deadline. It defines a problem called largest number data retrieval (LNDR). To prove the decision problem of LNDR is a NP hard, and to investigate approximation algorithm for it. It also define another problem called minimum cost data retrieval (MCDR), which aims at downloading a set of requested data items with the least response time and energy consumption. Data scheduling problem over unsynchronized channel at server side. In proposed system LNDR and MCDR in push based and pull based broadcast system are used. The proposed approximation algorithms efficiently schedule the data retrieval process of downloading multiple data from multiple channels. Push based and pull based broadcast model are used in unsynchronized channel. When the time needed for channel switching can be ignored, a Maximum Matching optimal algorithm is exhibited for LNDR which requires only polynomial time. The switching time cannot be neglected, finally to provide simulation results to demonstrate the practical efficiency of the proposed algorithms.
Transport control protocols for Wireless sensor networksRushin Shah
The document discusses traditional transport control protocols and their feasibility for use in wireless sensor networks. It describes how TCP and UDP are generally not suitable for WSNs due to their overhead and lack of features like congestion control that are needed in low power lossy networks. The document then outlines key considerations for designing new transport protocols for WSNs, including performing congestion control and reliable delivery, simplifying connection establishment, avoiding packet loss to reduce energy waste, and providing fairness across nodes. Transport protocols for WSNs need hop-by-hop approaches and mechanisms to reduce buffer usage and packet loss while conserving energy.
END TO END QUALITY OF SERVICE ASSURANCE FOR MULTI-SERVICE PROVISIONING IN MOB...IJNSA Journal
Multimedia streaming over Mobile Ad Hoc networks has been a very challenging issue due to the dynamic behavior and uncertain nature of the channels. Transmission of real time video has bandwidth, delay and loss requirements. However there are no Quality of Service (QoS) guarantees for video transmission in today’s network. There are many challenging issues that need to be addressed in designing mechanisms for video transmission, which include end-to-end Quality of Service, Bandwidth, Delay, Loss, Congestion, and Heterogeneity. The Challenges of delivering Multi-media signals are even pronounced in Wireless Networks (Mobile Ad Hoc Networks, Wireless Fidelity (Wi-Fi) and Cellular Networks) which are heavily bandwidth constrained and have no fixed infrastructures. In this Research we provide a theoretical model for minimum buffer size as a means of achieving smoother, higher quality streaming video. This Research presents a general optimal video smoothing algorithm based on the concept of dynamically controlled Coefficient of Variance (CV), which is the ratio of standard deviation of the end-to-end delay and the expected value of the delay for each ensemble of packets being transmitted through the network. The results discuss how the size of the “receive buffer” is affected by the allocated bandwidth for each source-pair end users for supporting video streaming applications without any gaps. The simulation performance show that the dynamic client buffer size based on measured bandwidth variation achieves negligible jitter in the video streaming which is subjectively acceptable.
This document discusses providing quality of service (QoS) assurances for multimedia streaming in mobile ad hoc networks (MANETs). It proposes using a dynamically controlled coefficient of variance (CV) to determine the optimal client buffer size at the receiver. The CV is the ratio of the standard deviation to the mean of end-to-end delay for transmitted packet ensembles. Simulation results show that dynamically adjusting the client buffer size based on measured bandwidth variation achieves negligible jitter in video streaming, providing an acceptable viewing experience. The minimum buffer size is determined by simulating video playout and increasing the buffer until there are no playback interruptions due to empty buffers.
This document provides an overview of vertical handover decision strategies in heterogeneous wireless networks. It begins with an introduction to always best connectivity requirements in next generation networks that allow users to move between different network technologies. It then discusses the key aspects of handover management, including the three phases of initiation, decision, and execution. Various criteria for the handover decision process are described, such as received signal strength, network connection time, available bandwidth, power consumption, cost, security, and user preferences. Different types of handover decision strategies are categorized, including those based on network conditions, user preferences, multiple attributes, fuzzy logic/neural networks, and context awareness. The strategies are analyzed and their advantages/disadvantages compared.
This document summarizes the research of Hatem Abou-zeid, who investigates optimizing content delivery to mobile users by leveraging location information. His research focuses on improving user quality of service and network efficiency/power consumption by proactively planning delivery, storage, and caching mechanisms using location awareness. His work has focused on stored videos and adaptive streaming but similar approaches could apply to other non-real-time content. He has published several papers in this area and filed some related patents through Alcatel-Lucent.
Flow control manages the rate of data transmission between nodes to prevent fast senders from overwhelming slow receivers. It provides mechanisms for receivers to control transmission speed. Flow control is needed to prevent degradation, deadlocks, fair resource allocation, and speed matching between networks and users. The main types of flow control are stop-and-wait and sliding window. Flow control occurs at the hop, entry-exit, network access, and transport levels. Problems can arise if data is sent too slowly or quickly, wasting time or causing buffer overflows.
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKSijwmn
One of the most important factors to implement VANET is by considering the variety of wireless networks available around the city as well as the vehicles traffic scenarios. However, by providing a diverse range of wireless access technologies, it is necessary to provide continuous network connectivity as well as selecting the most suitable network technology and performance. Many researchers have worked on building algorithms for selecting the best network to improve the handover process. However, with high-speed vehicles mobility, the vertical handover process became the most challenging task in order to achieve realtime network selection. This paper proposes a bio-inspired network selection algorithm influenced by insect's behaviour which combines Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed algorithm is applied to process multi-criteria parameters to evaluate the best available network and then execute the handover process seamlessly. The results demonstrate the benefits of the proposed Multi-Criteria ABC-PSO method by reducing the handover decision delays by 25%. It gives the optimum performance in terms of network selections and reduces the handover latency by 14.5%. The proposed algorithm also reduces the number of unnecessary handovers by 48% for three different mobility scenarios based on traffic environments (highway, urban and traffic jam).
Manage the Digital Transformation with Machine Learning in a Reactive Microse...DataWorks Summit
Digital transformation is undoubtedly the biggest challenge of Dutch telecom operator KPN in the coming years. By adopting new technologies like machine learning into the current operations procedures, companies like KPN will save money by eliminating manual tasks and better manage our telecom infrastructure.
Machine learning is changing the world, is automating processes that the human brain has done in the past, such as recommendations. By combining Bussiness Process Management (BPM) and machine learning together we can take automation to the other level. But how can we integrate machine learning and BPM into a reactive microservices architecture?
In this session, we will discuss an integration pattern for achieving this using technical components like Apache SPARK as a machine learning platform Apache KAFKA as a distributed streaming platform to trigger the external microservices, and (BPM) Bussiness Process Management tooling to manage just the workflow and lets the external microservices do the work.
Speaker
Patrick de Vries, Architect
KPN
Recently with the increasing development of distributed computer systems (DCSs) in networked
industrial and manufacturing applications on the World Wide Web (WWW) platform, including service-oriented
architecture and Web of Things QoS-aware systems, it has become important to predict the Web performance.
In this paper, we present Web performance prediction in time by making a forecast of a Web resource
downloading using the Efficient Turning Bands (TB) geostatistical simulation method. Real-life data for the
research were obtained from our own website named "Distributed forecasting system". Generation of log file
form website and performing monitoring of a group of Web clients from connected LAN. For better web
prediction we used spatio temporal prediction method with time utility for downloading particular file from
website and calculate forecasting result using Turning bands method but improving more forecasting
accuracy use the efficient turning band method basically efficient turning band use Naive bays algorithm and
calculate efficient result and that result is compared with Turning band and efficient turning band method.
The efficient turning band method result show good forecasting quality of Web performance prediction and
forecasting.
1) The document discusses reducing vertical handover latency in heterogeneous networks consisting of WLAN and 3G to improve quality of service for voice and video streaming.
2) It proposes using an enhanced hybrid scheme combining bidirectional Stream Control Transmission Protocol (Bi-mSCTP) with Mobile IP to further reduce handover latency and packet loss during handovers.
3) This approach aims to allow users to receive services continuously with minimal packet loss, analyzing the performance of the Bi-mSCTP hybrid scheme for real-time traffic like voice and video.
Flow control manages the rate of data transmission between nodes to prevent senders from overwhelming receivers. It provides mechanisms for receivers to control transmission speed. There are different types of flow control including stop-and-wait and sliding window approaches. Flow control operates at different levels including hop, entry-to-exit, network access, and transport levels. The goal is to prevent buffer congestion and overflow while ensuring efficient usage of network resources.
This document summarizes a review paper on congestion control approaches for real-time streaming applications on the Internet. It discusses how TCP is not well-suited for real-time streaming due to its reliance on packet loss and variable bitrates. The paper reviews different end-to-end and active queue management approaches for congestion control that aim to reduce latency and jitter. It covers issues with single and shared bottlenecks on the Internet that can lead to congestion and the need for new transport protocols and congestion control for real-time media streaming.
An Eavesdropping Model for Securing Communications over Wireless Broadcast Ne...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
This document presents an Intelligent Vertical Handoff Algorithm (IVHA) that uses fuzzy logic to improve handoff decisions between heterogeneous wireless networks. The algorithm has two phases: 1) The handoff initialization phase uses fuzzy logic to adaptively set the handoff threshold based on RSSI, SINR, and data rate to trigger handoffs at the right time. 2) The handoff decision phase uses fuzzy logic to select the best network among available options based on bandwidth, network load, coverage, and user velocity. The algorithm aims to improve quality of service by reducing problems like ping-ponging during handoffs.
Call Admission Control (CAC) with Load Balancing Approach for the WLAN NetworksIJARIIT
The cell migrations take place between the different network operators, and require the significant information exchange between the operators to handle the migratory users. The new user registration requires the pre-shared information from the user’s equipment, which signifies the user recognition before registering the new user over the network. In this thesis, the proposed model has been aimed at the development of the new call admission control mechanism with the sub-channel assignment. The very basic utilization of the proposed model is to increase the number of the users over the given cell units, which is realized by using the sub-channel assignment to the users of the network. The proposed model is aimed at solving the issue by assigning the dual sub channels over the single communication channel. Also the proposed model is aimed at handling the minimum resource users by incorporating the load balancing approach over the given network segment. The load balancing approach shares the load of the overloaded cell with the cell with lowest resource utilization. The proposed model performance has been evaluated in the various scenarios and over all of the BTS nodes. The proposed model results have been obtained in the form of the resource utilization, network load, transmission delay, consumed bandwidth and data loss. The proposed model has shown the efficiency obtained by using the proposed call admission control (CAC) along with the new load balancing mechanism. The proposed model has shown the robustness of the proposed model in handling the cell overloading factors.
Businesses realized that networking technology could increase productivity while saving money by addressing problems with duplicating equipment, communicating efficiently, and setting up and managing networks. Network devices connect end-user devices like computers and printers together to allow communication. A network interface card provides network communication capabilities to a personal computer.
Data transmission involves sending digital or analog data over a communication medium between computing networks. It relies on two key factors: the quality of the transmitted signal and the characteristics of the transmission medium such as bandwidth, cost, and ease of installation. Concepts and terminology in data transmission refer to the transmission path between a transmitter and receiver either through a direct link with no intermediate devices, or a multipoint guided configuration where more than two devices share the same transmission medium.
Data Retrieval Scheduling For Unsynchronized Channel in Wireless Broadcast Sy...IJERA Editor
Wireless data broadcast is a disseminating data into large number of mobile clients. In many information services, the users may query multiple data items at a time. The environment under consideration is asymmetric in that the information server has much more bandwidth available, as compared to the clients. To maximize the number of downloads given a deadline. It defines a problem called largest number data retrieval (LNDR). To prove the decision problem of LNDR is a NP hard, and to investigate approximation algorithm for it. It also define another problem called minimum cost data retrieval (MCDR), which aims at downloading a set of requested data items with the least response time and energy consumption. Data scheduling problem over unsynchronized channel at server side. In proposed system LNDR and MCDR in push based and pull based broadcast system are used. The proposed approximation algorithms efficiently schedule the data retrieval process of downloading multiple data from multiple channels. Push based and pull based broadcast model are used in unsynchronized channel. When the time needed for channel switching can be ignored, a Maximum Matching optimal algorithm is exhibited for LNDR which requires only polynomial time. The switching time cannot be neglected, finally to provide simulation results to demonstrate the practical efficiency of the proposed algorithms.
Transport control protocols for Wireless sensor networksRushin Shah
The document discusses traditional transport control protocols and their feasibility for use in wireless sensor networks. It describes how TCP and UDP are generally not suitable for WSNs due to their overhead and lack of features like congestion control that are needed in low power lossy networks. The document then outlines key considerations for designing new transport protocols for WSNs, including performing congestion control and reliable delivery, simplifying connection establishment, avoiding packet loss to reduce energy waste, and providing fairness across nodes. Transport protocols for WSNs need hop-by-hop approaches and mechanisms to reduce buffer usage and packet loss while conserving energy.
END TO END QUALITY OF SERVICE ASSURANCE FOR MULTI-SERVICE PROVISIONING IN MOB...IJNSA Journal
Multimedia streaming over Mobile Ad Hoc networks has been a very challenging issue due to the dynamic behavior and uncertain nature of the channels. Transmission of real time video has bandwidth, delay and loss requirements. However there are no Quality of Service (QoS) guarantees for video transmission in today’s network. There are many challenging issues that need to be addressed in designing mechanisms for video transmission, which include end-to-end Quality of Service, Bandwidth, Delay, Loss, Congestion, and Heterogeneity. The Challenges of delivering Multi-media signals are even pronounced in Wireless Networks (Mobile Ad Hoc Networks, Wireless Fidelity (Wi-Fi) and Cellular Networks) which are heavily bandwidth constrained and have no fixed infrastructures. In this Research we provide a theoretical model for minimum buffer size as a means of achieving smoother, higher quality streaming video. This Research presents a general optimal video smoothing algorithm based on the concept of dynamically controlled Coefficient of Variance (CV), which is the ratio of standard deviation of the end-to-end delay and the expected value of the delay for each ensemble of packets being transmitted through the network. The results discuss how the size of the “receive buffer” is affected by the allocated bandwidth for each source-pair end users for supporting video streaming applications without any gaps. The simulation performance show that the dynamic client buffer size based on measured bandwidth variation achieves negligible jitter in the video streaming which is subjectively acceptable.
This document discusses providing quality of service (QoS) assurances for multimedia streaming in mobile ad hoc networks (MANETs). It proposes using a dynamically controlled coefficient of variance (CV) to determine the optimal client buffer size at the receiver. The CV is the ratio of the standard deviation to the mean of end-to-end delay for transmitted packet ensembles. Simulation results show that dynamically adjusting the client buffer size based on measured bandwidth variation achieves negligible jitter in video streaming, providing an acceptable viewing experience. The minimum buffer size is determined by simulating video playout and increasing the buffer until there are no playback interruptions due to empty buffers.
This document provides an overview of vertical handover decision strategies in heterogeneous wireless networks. It begins with an introduction to always best connectivity requirements in next generation networks that allow users to move between different network technologies. It then discusses the key aspects of handover management, including the three phases of initiation, decision, and execution. Various criteria for the handover decision process are described, such as received signal strength, network connection time, available bandwidth, power consumption, cost, security, and user preferences. Different types of handover decision strategies are categorized, including those based on network conditions, user preferences, multiple attributes, fuzzy logic/neural networks, and context awareness. The strategies are analyzed and their advantages/disadvantages compared.
This document summarizes the research of Hatem Abou-zeid, who investigates optimizing content delivery to mobile users by leveraging location information. His research focuses on improving user quality of service and network efficiency/power consumption by proactively planning delivery, storage, and caching mechanisms using location awareness. His work has focused on stored videos and adaptive streaming but similar approaches could apply to other non-real-time content. He has published several papers in this area and filed some related patents through Alcatel-Lucent.
Flow control manages the rate of data transmission between nodes to prevent fast senders from overwhelming slow receivers. It provides mechanisms for receivers to control transmission speed. Flow control is needed to prevent degradation, deadlocks, fair resource allocation, and speed matching between networks and users. The main types of flow control are stop-and-wait and sliding window. Flow control occurs at the hop, entry-exit, network access, and transport levels. Problems can arise if data is sent too slowly or quickly, wasting time or causing buffer overflows.
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKSijwmn
One of the most important factors to implement VANET is by considering the variety of wireless networks available around the city as well as the vehicles traffic scenarios. However, by providing a diverse range of wireless access technologies, it is necessary to provide continuous network connectivity as well as selecting the most suitable network technology and performance. Many researchers have worked on building algorithms for selecting the best network to improve the handover process. However, with high-speed vehicles mobility, the vertical handover process became the most challenging task in order to achieve realtime network selection. This paper proposes a bio-inspired network selection algorithm influenced by insect's behaviour which combines Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed algorithm is applied to process multi-criteria parameters to evaluate the best available network and then execute the handover process seamlessly. The results demonstrate the benefits of the proposed Multi-Criteria ABC-PSO method by reducing the handover decision delays by 25%. It gives the optimum performance in terms of network selections and reduces the handover latency by 14.5%. The proposed algorithm also reduces the number of unnecessary handovers by 48% for three different mobility scenarios based on traffic environments (highway, urban and traffic jam).
Manage the Digital Transformation with Machine Learning in a Reactive Microse...DataWorks Summit
Digital transformation is undoubtedly the biggest challenge of Dutch telecom operator KPN in the coming years. By adopting new technologies like machine learning into the current operations procedures, companies like KPN will save money by eliminating manual tasks and better manage our telecom infrastructure.
Machine learning is changing the world, is automating processes that the human brain has done in the past, such as recommendations. By combining Bussiness Process Management (BPM) and machine learning together we can take automation to the other level. But how can we integrate machine learning and BPM into a reactive microservices architecture?
In this session, we will discuss an integration pattern for achieving this using technical components like Apache SPARK as a machine learning platform Apache KAFKA as a distributed streaming platform to trigger the external microservices, and (BPM) Bussiness Process Management tooling to manage just the workflow and lets the external microservices do the work.
Speaker
Patrick de Vries, Architect
KPN
Recently with the increasing development of distributed computer systems (DCSs) in networked
industrial and manufacturing applications on the World Wide Web (WWW) platform, including service-oriented
architecture and Web of Things QoS-aware systems, it has become important to predict the Web performance.
In this paper, we present Web performance prediction in time by making a forecast of a Web resource
downloading using the Efficient Turning Bands (TB) geostatistical simulation method. Real-life data for the
research were obtained from our own website named "Distributed forecasting system". Generation of log file
form website and performing monitoring of a group of Web clients from connected LAN. For better web
prediction we used spatio temporal prediction method with time utility for downloading particular file from
website and calculate forecasting result using Turning bands method but improving more forecasting
accuracy use the efficient turning band method basically efficient turning band use Naive bays algorithm and
calculate efficient result and that result is compared with Turning band and efficient turning band method.
The efficient turning band method result show good forecasting quality of Web performance prediction and
forecasting.
1) The document discusses reducing vertical handover latency in heterogeneous networks consisting of WLAN and 3G to improve quality of service for voice and video streaming.
2) It proposes using an enhanced hybrid scheme combining bidirectional Stream Control Transmission Protocol (Bi-mSCTP) with Mobile IP to further reduce handover latency and packet loss during handovers.
3) This approach aims to allow users to receive services continuously with minimal packet loss, analyzing the performance of the Bi-mSCTP hybrid scheme for real-time traffic like voice and video.
Flow control manages the rate of data transmission between nodes to prevent senders from overwhelming receivers. It provides mechanisms for receivers to control transmission speed. There are different types of flow control including stop-and-wait and sliding window approaches. Flow control operates at different levels including hop, entry-to-exit, network access, and transport levels. The goal is to prevent buffer congestion and overflow while ensuring efficient usage of network resources.
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React.js, a JavaScript library developed by Facebook, has gained immense popularity for building user interfaces, especially for single-page applications. Over the years, React has evolved and expanded its capabilities, becoming a preferred choice for mobile app development. This article will explore why React.js is an excellent choice for the Best Mobile App development company in Noida.
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14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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2. Introduction
Welcome to the presentation on Optimizing
Data Transfer Efficiency.This session will focus
on understanding the differences between
asynchronous and synchronous methods of data
transfer and their impact on efficiency and
performance.
3. Synchronous Data Transfer
Synchronous data transfer involves
sending data in a continuous
stream, where the sender and
receiver are synchronized in time.
This method ensures data integrity
and is suitable for real-time
applications such as video
conferencing and voice calls.
4. Asynchronous Data
Transfer
Asynchronous data transfer allows the
sender to initiate data transmission
without waiting for the receiver.This
method is advantageous for handling
multiple tasks simultaneously and is
commonly used in web applications
and file transfers.
5. E cie ncy Considerations
When considering efficiency,factors
such as latency,bandwidth utilization,
and error handling must be evaluated.
Understanding the trade-offs between
synchronous and asynchronous
methods is crucial in optimizing data
transfer efficiency.
6. Best Practices
Implementing a combination of
synchronous and asynchronous
methods based on specific use cases
can lead to optimal data transfer
efficiency. It's essential to analyze the
requirements of each application to
determine the most suitable approach.
7. Conclusion
In conclusion, understanding the nuances of synchronous and
asynchronous data transfer methods is crucial for optimizing
efficiency.By leveraging the strengths of each method,
organizations can enhance performance, scalability, and user
experience in data transfer operations.