DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementation feasibility of joint radio resource management policies for heterogeneous wireless networks
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
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PERFORMANCE ANALYSIS OF OLSR PROTOCOL IN MANET CONSIDERING DIFFERENT MOBILITY...ijwmn
A Mobile Ad Hoc Network (MANET) is created when an independent mobile node network is connected
dynamically via wireless links. MANET is a self-organizing network that does not rely on pre-existing
infrastructure such as wired or wireless network routers. Mobile nodes in this network move randomly,
thus, the topology is always changing. Routing protocols in MANET are critical in ensuring dependable
and consistent connectivity between the mobile nodes. They conclude logically based on the interaction
between mobile nodes in MANET routing and encourage them to choose the optimum path between source
and destination. Routing protocols are classified as proactive, reactive, or hybrid. The focus of this project
will be on Optimized Link State Routing (OLSR) protocol, a proactive routing technique. OLSR is known as
the optimized variant of link state routing in which packets are sent throughout the network using the
multipoint relay (MPR) mechanism. This article evaluates the performance of the OLSR routing protocol
under condition of changing mobility speed and network density. The study's performance indicators are
average packet throughput, packet delivery ratio (PDR), and average packet latency. Network Simulator 2
(NS-2) and an external patch UM-OLSR are used to simulate and evaluate the performance of such
protocol. As a result of research, the approach of implementing the MPR mechanism are able to minimise
redundant data transmission during the normal message broadcast. The MPRs enhance the link state
protocols’ traditional diffusion mechanism by selecting the right MPRs. Hence, the number of undesired
broadcasts can be reduced and limited. Further research will focus on different scenario and environment
using different mobility model
A scalable and power efficient solution for routing in mobile ad hoc network ...ijmnct
Mobile Ad Hoc Network (MANET) is a very dynamic and infrastructure-less ad hoc network. The actual
network size depends on the application and the protocols developed for the routing for this kind of
networks should be scalable. MANET is a resource limited network and therefore the developed routing
algorithm for packet transmission should be power and bandwidth efficient. These kinds of dynamic
networks should operate with minimal management overhead. The management functionality of the
network increases with number of nodes and reduces the performance of the network. Here, in this paper,
we have designed all identical nodes in the cluster except the cluster head and this criterion reduces the
management burden on the network. Graph theoretic routing algorithm is used to develop route for packet
transmission by using the minimum resources. In this paper, we developed routing algorithm for cluster
based MANET and finds a path from source to destination using minimum cumulative degree path. Our
simulation results show that this routing algorithm provide efficient routing path with the increasing
number of nodes and uses multi-hop connectivity for intra-cluster to utilize minimum power for packet
transmission irrespective of number of nodes in the network.
JPD1428 Multicast Capacity in MANET with Infrastructure Supportchennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
MANET Routing Protocols , a case studyRehan Hattab
L. Yi, Y. Zhai, Y. Wang, J. Yuan and I. You , Impacts of Internal Network Contexts on Performance of MANET Routing Protocols: a Case Study, Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing,2012.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
PERFORMANCE ANALYSIS OF OLSR PROTOCOL IN MANET CONSIDERING DIFFERENT MOBILITY...ijwmn
A Mobile Ad Hoc Network (MANET) is created when an independent mobile node network is connected
dynamically via wireless links. MANET is a self-organizing network that does not rely on pre-existing
infrastructure such as wired or wireless network routers. Mobile nodes in this network move randomly,
thus, the topology is always changing. Routing protocols in MANET are critical in ensuring dependable
and consistent connectivity between the mobile nodes. They conclude logically based on the interaction
between mobile nodes in MANET routing and encourage them to choose the optimum path between source
and destination. Routing protocols are classified as proactive, reactive, or hybrid. The focus of this project
will be on Optimized Link State Routing (OLSR) protocol, a proactive routing technique. OLSR is known as
the optimized variant of link state routing in which packets are sent throughout the network using the
multipoint relay (MPR) mechanism. This article evaluates the performance of the OLSR routing protocol
under condition of changing mobility speed and network density. The study's performance indicators are
average packet throughput, packet delivery ratio (PDR), and average packet latency. Network Simulator 2
(NS-2) and an external patch UM-OLSR are used to simulate and evaluate the performance of such
protocol. As a result of research, the approach of implementing the MPR mechanism are able to minimise
redundant data transmission during the normal message broadcast. The MPRs enhance the link state
protocols’ traditional diffusion mechanism by selecting the right MPRs. Hence, the number of undesired
broadcasts can be reduced and limited. Further research will focus on different scenario and environment
using different mobility model
A scalable and power efficient solution for routing in mobile ad hoc network ...ijmnct
Mobile Ad Hoc Network (MANET) is a very dynamic and infrastructure-less ad hoc network. The actual
network size depends on the application and the protocols developed for the routing for this kind of
networks should be scalable. MANET is a resource limited network and therefore the developed routing
algorithm for packet transmission should be power and bandwidth efficient. These kinds of dynamic
networks should operate with minimal management overhead. The management functionality of the
network increases with number of nodes and reduces the performance of the network. Here, in this paper,
we have designed all identical nodes in the cluster except the cluster head and this criterion reduces the
management burden on the network. Graph theoretic routing algorithm is used to develop route for packet
transmission by using the minimum resources. In this paper, we developed routing algorithm for cluster
based MANET and finds a path from source to destination using minimum cumulative degree path. Our
simulation results show that this routing algorithm provide efficient routing path with the increasing
number of nodes and uses multi-hop connectivity for intra-cluster to utilize minimum power for packet
transmission irrespective of number of nodes in the network.
JPD1428 Multicast Capacity in MANET with Infrastructure Supportchennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
MANET Routing Protocols , a case studyRehan Hattab
L. Yi, Y. Zhai, Y. Wang, J. Yuan and I. You , Impacts of Internal Network Contexts on Performance of MANET Routing Protocols: a Case Study, Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing,2012.
To find a QoS path between source and destination, Which satisfies
The QoS requirements for each admitted connection and
Optimizes the use of network resources
Quality encompasses the data loss, latency, jitter, efficient use of network resources,..
QoS mechanisms for unfairness: managing queuing behavior, shaping traffic, control admission, routing, …
Usually, a hybrid network has widespread base stations
The data transmission in hybrid networks has two features:
An AP can be a source or a destination to any mobile node
It allows a stream to have anycast transmission along multiple transmission paths to its destination through base stations
The number of transmission hops between a mobile node and an AP is small
It enables a source node to connect to an AP through an intermediate node
Qo s oriented distributed routing protocols : anna university 2nd review pptAAKASH S
To find a QoS path between source and destination, Which satisfies
The QoS requirements for each admitted connection and
Optimizes the use of network resources
Quality encompasses the data loss, latency, jitter, efficient use of network resources,..
QoS mechanisms for unfairness: managing queuing behavior, shaping traffic, control admission, routing, …
Usually, a hybrid network has widespread base stations
The data transmission in hybrid networks has two features:
An AP can be a source or a destination to any mobile node
It allows a stream to have anycast transmission along multiple transmission paths to its destination through base stations
The number of transmission hops between a mobile node and an AP is small
It enables a source node to connect to an AP through an intermediate node
In this paper introduce the QoS-Oriented Distributed routing protocol(QOD)
This QOD protocol makes five contributions:
QoS-guaranteed neighbor selection algorithm
Distributed packet scheduling algorithm
Mobility-based segment resizing algorithm
Soft-deadline based forwarding scheduling algorithm
Data redundancy elimination based transmission
Minimize energy per packet (or per bit)
Maximize network lifetime
Routing considering available battery energy
Maximum Total Available Battery Capacity
Minimum Battery Cost Routing (MBCR)
Min– Max Battery Cost Routing (MMBCR)
Conditional Max – Min Battery Capacity Routing (CMMBCR)
Minimize variance in power levels
Minimum Total Transmission Power Routing (MTPR)
Improved routing scheme with ACO in WSN in comparison to DSDVijsrd.com
Routing is the process of selecting best paths in a network in terms of energy and distance. In adhoc it is critical to collect the information in an efficient manner as it has limitations in terms of centralized congestion. In such case to perform the effective communication there is the requirement of some such routing approach that can provide the routing with optimized path. In this work, ACO based routing approach is defined to generate the optimized path in comparison to DSDV over the network. The presented approach is implemented in matlab environment and obtained results shows the effective results in terms of optimized path.
Hybrid networks is integrate MANETs and infrastructure wireless networks
It have proven to be a better network structure for the next generation networks
It can act Base station and Ad hoc according to the environment conditions
The widespread use of mobile devices the increasing demand for mobile multimedia streaming services
The future of real time need of high Quality of Service (QoS) support in wireless and mobile networking environments
The QoS support reduces end to end transmission delay and enhances throughput to guarantee the seamless communication between mobile devices and wireless infrastructures
Specifically, infrastructure networks improve the scalability of MANETs, while MANETs automatically establish self-organizing networks, extending the coverage of the infrastructure networks
Quadrant Based DIR in CWin Adaptation Mechanism for Multihop Wireless NetworkIJCI JOURNAL
In Multihop Wireless Networks, traffic forwarding capability of each node varies according to its level of contention. Each node can yield its channel access opportunity to its neighbouring nodes, so that all the nodes can evenly share the channel and have similar forwarding capability. In this manner the wireless channel is utilized effectively, which is achieved using Contention Window Adaptation Mechanism (CWAM). This mechanism achieves a higher end-to-end throughout but consumes the network power to a higher level. So, a newly proposed algorithm Quadrant- Based Directional Routing Protocol (Q-DIR) is implemented as a cross-layer with CWAM, to reduce the total network power consumption through limited flooding and also reduce the routing overheads, which eventually increases overall network throughput. This algorithm limits the broadcast region to a quadrant where the source node and the destination nodes are located. Implementation of the algorithm is done in Linux based NS-2 simulator
International Journal of Engineering Inventions (IJEI) provides a multidisciplinary passage for researchers, managers, professionals, practitioners and students around the globe to publish high quality, peer-reviewed articles on all theoretical and empirical aspects of Engineering and Science.
Routing in Cognitive Radio Networks - A SurveyIJERA Editor
Cognitive Radio Networks (CRNs) have been emerged as a revolutionary solution to migrate the spectrum
scarcity problem in wireless networks. Due to increasing demand for additional spectrum resources, CRNs have
been receiving significant research to solve issues related with spectrum underutilization. This technology
brings efficient spectrum usage and effective interference avoidance, and also brings new challenges to routing
in multi-hop Cognitive Radio Networks. In CRN, unlicensed users or secondary users are able to use
underutilized licensed channels, but they have to leave the channel if any interference is caused to the primary or
licensed users. So CR technology allows sharing of licensed spectrum band in opportunistic and non-interfering
manner. Different routing protocols have been proposed recently based on different design goals under different
assumptions.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
An optimum dynamic priority-based call admission control scheme for universal...TELKOMNIKA JOURNAL
The dynamism associated with quality of service (QoS) requirement for traffic emanating from smarter end users devices founded on the internet of things (IoTs) drive, places a huge demand on modern telecommunication infrastructure. Most telecom networks, currently utilize robust call admission control (CAC) policies to ameliorate this challenge. However, the need for smarter CAC has becomes imperative owing to the sensitivity of traffic currently being supported. In this work, we developed a prioritized CAC algorithm for third Generation (3G) wireless cellular network. Based on the dynamic priority CAC (DP-CAC) model, we proposed an optimal dynamic priority CAC (ODP-CAC) scheme for Universal Mobile Telecommunication System (UMTS). We then carried out simulation under heavy traffic load while also exploiting renegotiation among different call traffic classes. Also, we introduced queuing techniques to enhance the new calls success probability while still maintaining a good handoff failure across the network. Results show that ODP-CAC provides an improved performance with regards to the probability of call drop for new calls, network load utilization and grade of service with average percentage value of 15.7%, 5.4% and 0.35% respectively.
To find a QoS path between source and destination, Which satisfies
The QoS requirements for each admitted connection and
Optimizes the use of network resources
Quality encompasses the data loss, latency, jitter, efficient use of network resources,..
QoS mechanisms for unfairness: managing queuing behavior, shaping traffic, control admission, routing, …
Usually, a hybrid network has widespread base stations
The data transmission in hybrid networks has two features:
An AP can be a source or a destination to any mobile node
It allows a stream to have anycast transmission along multiple transmission paths to its destination through base stations
The number of transmission hops between a mobile node and an AP is small
It enables a source node to connect to an AP through an intermediate node
Qo s oriented distributed routing protocols : anna university 2nd review pptAAKASH S
To find a QoS path between source and destination, Which satisfies
The QoS requirements for each admitted connection and
Optimizes the use of network resources
Quality encompasses the data loss, latency, jitter, efficient use of network resources,..
QoS mechanisms for unfairness: managing queuing behavior, shaping traffic, control admission, routing, …
Usually, a hybrid network has widespread base stations
The data transmission in hybrid networks has two features:
An AP can be a source or a destination to any mobile node
It allows a stream to have anycast transmission along multiple transmission paths to its destination through base stations
The number of transmission hops between a mobile node and an AP is small
It enables a source node to connect to an AP through an intermediate node
In this paper introduce the QoS-Oriented Distributed routing protocol(QOD)
This QOD protocol makes five contributions:
QoS-guaranteed neighbor selection algorithm
Distributed packet scheduling algorithm
Mobility-based segment resizing algorithm
Soft-deadline based forwarding scheduling algorithm
Data redundancy elimination based transmission
Minimize energy per packet (or per bit)
Maximize network lifetime
Routing considering available battery energy
Maximum Total Available Battery Capacity
Minimum Battery Cost Routing (MBCR)
Min– Max Battery Cost Routing (MMBCR)
Conditional Max – Min Battery Capacity Routing (CMMBCR)
Minimize variance in power levels
Minimum Total Transmission Power Routing (MTPR)
Improved routing scheme with ACO in WSN in comparison to DSDVijsrd.com
Routing is the process of selecting best paths in a network in terms of energy and distance. In adhoc it is critical to collect the information in an efficient manner as it has limitations in terms of centralized congestion. In such case to perform the effective communication there is the requirement of some such routing approach that can provide the routing with optimized path. In this work, ACO based routing approach is defined to generate the optimized path in comparison to DSDV over the network. The presented approach is implemented in matlab environment and obtained results shows the effective results in terms of optimized path.
Hybrid networks is integrate MANETs and infrastructure wireless networks
It have proven to be a better network structure for the next generation networks
It can act Base station and Ad hoc according to the environment conditions
The widespread use of mobile devices the increasing demand for mobile multimedia streaming services
The future of real time need of high Quality of Service (QoS) support in wireless and mobile networking environments
The QoS support reduces end to end transmission delay and enhances throughput to guarantee the seamless communication between mobile devices and wireless infrastructures
Specifically, infrastructure networks improve the scalability of MANETs, while MANETs automatically establish self-organizing networks, extending the coverage of the infrastructure networks
Quadrant Based DIR in CWin Adaptation Mechanism for Multihop Wireless NetworkIJCI JOURNAL
In Multihop Wireless Networks, traffic forwarding capability of each node varies according to its level of contention. Each node can yield its channel access opportunity to its neighbouring nodes, so that all the nodes can evenly share the channel and have similar forwarding capability. In this manner the wireless channel is utilized effectively, which is achieved using Contention Window Adaptation Mechanism (CWAM). This mechanism achieves a higher end-to-end throughout but consumes the network power to a higher level. So, a newly proposed algorithm Quadrant- Based Directional Routing Protocol (Q-DIR) is implemented as a cross-layer with CWAM, to reduce the total network power consumption through limited flooding and also reduce the routing overheads, which eventually increases overall network throughput. This algorithm limits the broadcast region to a quadrant where the source node and the destination nodes are located. Implementation of the algorithm is done in Linux based NS-2 simulator
International Journal of Engineering Inventions (IJEI) provides a multidisciplinary passage for researchers, managers, professionals, practitioners and students around the globe to publish high quality, peer-reviewed articles on all theoretical and empirical aspects of Engineering and Science.
Routing in Cognitive Radio Networks - A SurveyIJERA Editor
Cognitive Radio Networks (CRNs) have been emerged as a revolutionary solution to migrate the spectrum
scarcity problem in wireless networks. Due to increasing demand for additional spectrum resources, CRNs have
been receiving significant research to solve issues related with spectrum underutilization. This technology
brings efficient spectrum usage and effective interference avoidance, and also brings new challenges to routing
in multi-hop Cognitive Radio Networks. In CRN, unlicensed users or secondary users are able to use
underutilized licensed channels, but they have to leave the channel if any interference is caused to the primary or
licensed users. So CR technology allows sharing of licensed spectrum band in opportunistic and non-interfering
manner. Different routing protocols have been proposed recently based on different design goals under different
assumptions.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Similar to DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementation feasibility of joint radio resource management policies for heterogeneous wireless networks
An optimum dynamic priority-based call admission control scheme for universal...TELKOMNIKA JOURNAL
The dynamism associated with quality of service (QoS) requirement for traffic emanating from smarter end users devices founded on the internet of things (IoTs) drive, places a huge demand on modern telecommunication infrastructure. Most telecom networks, currently utilize robust call admission control (CAC) policies to ameliorate this challenge. However, the need for smarter CAC has becomes imperative owing to the sensitivity of traffic currently being supported. In this work, we developed a prioritized CAC algorithm for third Generation (3G) wireless cellular network. Based on the dynamic priority CAC (DP-CAC) model, we proposed an optimal dynamic priority CAC (ODP-CAC) scheme for Universal Mobile Telecommunication System (UMTS). We then carried out simulation under heavy traffic load while also exploiting renegotiation among different call traffic classes. Also, we introduced queuing techniques to enhance the new calls success probability while still maintaining a good handoff failure across the network. Results show that ODP-CAC provides an improved performance with regards to the probability of call drop for new calls, network load utilization and grade of service with average percentage value of 15.7%, 5.4% and 0.35% respectively.
Performance analysis of multilayer multicast MANET CRN based on steiner minim...TELKOMNIKA JOURNAL
In this study, the multicast mobile ad hoc (MANET) CRN has been developed, which involves multi-hop and multilayer consideration and Steiner minimal tree (SMT) algorithm is employed as the router protocol. To enhance the network performance with regards to throughput and packet delivery rate (PDR), as channel assignment scheme, the probability of success (POS) is employed that accounts for the channel availability and the time needed for transmission when selecting the best channel from the numerous available channels for data transmission from the source to all destinations nodes effectively. Within Rayleigh fading channels under various network parameters, a comparison is done for the performance of SMT multicast (MANET) CRN with POS scheme versus maximum data rate (MDR), maximum average spectrum availability (MASA) and random channel assignment schemes. Based on the simulation results, the SMT multicast (MANET) CRN with POS scheme was seen to demonstrate the best performance versus other schemes. Also, the results proved that the throughput and PDR performance are improved as the number the primary channels and the channel’s bandwidth increased while dropped as the value of packet size D increased. The network’s performance grew with rise in the value of idle probability (푃퐼) since the primary user’s (PU) traffic load is low when the value of 푃퐼 is high.
Performance evaluation of bandwidth optimization algorithm (boa) in atm networkEditor Jacotech
domains: none of them are suitable, alone, for the wide range of traffic services expected in ATM-based networks. Therefore, some integration of these basic schemes should be considered. In this paper, we propose a new traffic control algorithm, called the Bandwidth optimization Algorithm (BOA). BOA is a multi-level control algorithm that attempts to optimally manage network resources and perform traffic control among a wide range of traffic services in ATM-based networks. The basic objective of BOA is to meet the quality of service requirements for different traffic sources, while making the best possible use of network bandwidth. In addition. BOA attempts to minimize network congestion in a preventive way.
Dynamic resource allocation for opportunistic software-defined IoT networks: s...IJECEIAES
Several wireless technologies have recently emerged to enable efficient and scalable Internet-of-Things (IoT) networking. Cognitive radio (CR) technology, enabled by software-defined radios, is considered one of the main IoT-enabling technologies that can provide opportunistic wireless access to a large number of connected IoT devices. An important challenge in this domain is how to dynamically enable IoT transmissions while achieving efficient spectrum usage with a minimum total power consumption under interference and traffic demand uncertainty. Toward this end, we propose a dynamic bandwidth/channel/power allocation algorithm that aims at maximizing the overall network’s throughput while selecting the set of power resulting in the minimum total transmission power. This problem can be formulated as a two-stage binary linear stochastic programming. Because the interference over different channels is a continuous random variable and noting that the interference statistics are highly correlated, a suboptimal sampling solution is proposed. Our proposed algorithm is an adaptive algorithm that is to be periodically conducted over time to consider the changes of the channel and interference conditions. Numerical results indicate that our proposed algorithm significantly increases the number of simultaneous IoT transmissions compared to a typical algorithm, and hence, the achieved throughput is improved.
Call Admission Control Scheme With Multimedia Scheduling Service in WiMAX Net...Waqas Tariq
WiMAX network introduces a multimedia data scheduling service with different quality of service (QoS) requirements. Transmission opportunities are scheduled by the service according to the types of traffic data for the different connections or users. In the paper, we first propose a uniform definition of QoS level for the multimedia data types in the service. The QoS level of a connection are determined by the type of data of the connection and its allocated resources. Based on these QoS levels, we propose a call admission control (CAC) scheme for the entry admission of a new connection without degrading the network performance and the QoS of ongoing connections. The key idea of this scheme is to regulate the arriving traffic of the network such that the network can work at an optimal point, given under a heavy load traffic. Taking advantage of the simulation experiments, we confirm the fact that the proposed scheme can achieve better trade-off between the overall performance of network system and the QoS level of individual connection.
Design and analysis of routing protocol for cognitive radio ad hoc networks i...IJECEIAES
Multi-hop routing protocol in cognitive radio mobile ad hoc networks (CRMANETs) is a critical issue. Furthermore, the routing metric used in multi-hop CRMANETs should reflect the bands availability, the links quality, the PU activities and quality of service (QoS) requirements of SUs. For the best of our knowledge, many of researchers investigated the performance of the different routing protocols in a homogeneous environment only. In this paper, we propose a heterogeneous cognitive radio routing protocol (HCR) operates in heterogeneous environment (i.e. the route from source to destination utilize the licensed and unlicensed spectrum bands). The proposed routing protocol is carefully developed to make a tradeoff between the channel diversity of the routing path along with the CRMANETs throughput. Using simulations, we discuss the performance of the proposed HCR routing protocol and compare it with the AODV routing protocol using a discrete-event simulation which we developed using JAVA platform.
A vertical handover decision approaches in next generation wireless networks ...ijmnct
In next generation wireless network the most desirable feature is its ability to move seamlessly over various
access network regardless of the network infrastructure is used. The handover between these dissimilar
networks can be explored by using vertical handover algorithms. This paper focuses on the vertical
handover decision methods and algorithms effectiveness. Most of the algorithms which are based on RSS
values provide vertical handover with small delay at a lower rate of throughput. There are such algorithms
which provide significant improvements in throughput but at a cost of higher delays. As per the need for the
real time applications in next generation wireless networks there is a requirement of developing new
optimized algorithms that are able to produce high throughput and minimizing signalling cost and delay.
ADAPTIVE HANDOVER HYSTERESIS AND CALL ADMISSION CONTROL FOR MOBILE RELAY NODESIJCNCJournal
The aim of equipping a wireless network with a mobile relay node is to support broadband wireless communications for vehicular users and their devices. The high mobility of vehicular users, possibly at a very high velocity in the area in which two cells overlap, could cause the network to suffer from a reduced handover success rate and, hence, increased radio link failure. The combined impact of these problems is service interruptions to vehicular users. Thus, the handover schemes are crucial in solving these problems. In this work, we first present the adaptive handover hysteresis scheme for the wireless network with mobile relay nodes in the high-speed train scenario. Specifically, our proposed adaptive hysteresis scheme is based on the velocity of the train. Second, the handover call dropping probability is reduced by introducing a modified call admission control scheme to support radio resource reservation for handover calls that prioritizes handover calls of mobile relay over the other calls. The proposed solution in which adaptive parameter is combined with call admission control is evaluated by system level simulation. Our simulation results illustrate an increased handover success rate and reduced radio link failures.
A Bandwidth Efficient Scheduling Framework for Non Real Time Applications in ...ijdpsjournal
The key concern on the bandwidth allocation and scheduling for non real time traffic are the fulfillment of its minimum throughput requirement and improvement of bandwidth utilization with acceptable delay. This paper proposes a simple and efficient scheduling framework for allocating bandwidth to non real time
polling service (nrtPS) users in IEEE 802.16 networks. In this framework, jointly selective repeat ARQ at the MAC layer and adaptive modulation and coding techniques at the physical are considered. Numerical simulations demonstrate that the proposed scheduling approach provides a graceful compromise between bandwidth utilization and packet delivery delay while maintaining the minimum throughput requirements of nrtPS applications. Thus proves the efficiency of the proposed framework. The simulation is done for unicast scenario.
A QUALITY OF SERVICE ARCHITECTURE FOR RESOURCE PROVISIONING AND RATE CONTROL ...ijasuc
Prioritized flow control is a type of QoS provisioning in which each class is provided a different QoS by
assigning priority to one class over another in terms of allocating resources. It is an effective means to
provide service differentiation to different class of service in mobile ad hoc networks. So the objective is to
achieve a desired level of service to high-priority flows so that the wireless medium is completely utilized
using adaptive rate control. In this paper, we propose to design QoS architecture for Bandwidth
Management and Rate Control in MANET. Our proposed QoS architecture contains an adaptive
bandwidth management technique which measures the available bandwidth at each node in real-time and
it is then propagated on demand by the QoS routing protocol. The source nodes perform call admission
control for different priority of flows based on the bandwidth information provided by the QoS routing.
The network bandwidth utilization is monitored continuously and network congestion is detected in
advance. Then a rate control mechanism is used to regulate best-effort traffic.
A QUALITY OF SERVICE ARCHITECTURE FOR RESOURCE PROVISIONING AND RATE CONTROL ...ijasuc
Prioritized flow control is a type of QoS provisioning in which each class is provided a different QoS by
assigning priority to one class over another in terms of allocating resources. It is an effective means to
provide service differentiation to different class of service in mobile ad hoc networks. So the objective is to
achieve a desired level of service to high-priority flows so that the wireless medium is completely utilized
using adaptive rate control. In this paper, we propose to design QoS architecture for Bandwidth
Management and Rate Control in MANET. Our proposed QoS architecture contains an adaptive
bandwidth management technique which measures the available bandwidth at each node in real-time and
it is then propagated on demand by the QoS routing protocol. The source nodes perform call admission
control for different priority of flows based on the bandwidth information provided by the QoS routing.
The network bandwidth utilization is monitored continuously and network congestion is detected in
advance. Then a rate control mechanism is used to regulate best-effort traffic.
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.
CROSS LAYER DESIGN APPROACH FOR EFFICIENT DATA DELIVERY BASED ON IEEE 802.11P...pijans
Intelligent Transportation Systems (ITS) have been one of the promising technology that has a great interest attention from many researchers over the world. Vehicular Ad-hoc Network (VANET) communications environment as a part of ITS opens the way for a wide range of applications such as safety applications, mobility and connectivity for both driver and passengers to exploit the transport systems in a smoothly, efficiently and safer way. Several challenging tasks facing adopting VANET functionality for ITS such as modelling of wireless transmission and routing issues. These research issues have become more critical due to the high mobility of vehicles nodes (transmitters and receivers) and unexpected network topology due to the high speed of nodes. In fact, modelling radio propagation channel in VANET environment which considers as one of a stringent communications environment is a challenging task. The selection of a suitable transmission model plays a key role in the routing decisions for VANET. Different propagation models allow calculating the Received Signal Strength (RSS) based on key environmental properties such as the distance between transmitter vehicle and a receiver vehicle, the gain and antenna height of transmitter and a receiver vehicles. Hence, it is useful to calculate RSS and SNR values for a specific propagation model and then these values can be used later for routing decision in order to find the best path with high SNR. This paper evaluates the performance of different transmission models (freespace, two-ray and log-normal) in terms of Receive Signal Strength (RSS). In addition, the performance of such wireless transmission models for vehicular communication in terms of PDR, throughput and delay is evaluated by applying the proposed cross layer routing approach based on IEEE 802.11p. By using MATLAB, the obtained results confirm the best packet delivery ratio for our proposed approach, where it indicates poor quality of DSSS PHY with high number vehicles. The minimum delay achieved when traffic density is decreased.
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementation feasibility of joint radio resource management policies for heterogeneous wireless networks
1. On the Real-Time Hardware Implementation Feasibility of Joint Radio
Resource Management Policies for Heterogeneous Wireless Networks
ABSTRACT:
We design of Joint Radio Resource Management (JRRM) techniques is a key and challenging aspect in future
heterogeneous wireless systems where different Radio Access Technologies (RAT) will physically coexist.
In this system, the total available radio resources need to be used in a coordinated way to guarantee adequate
satisfaction levels to all users, and maximize the system revenues. In addition to carry out an efficient use of the
available radio resources, JRRM algorithms need to exhibit good computational performance to guarantee their
future implementation viability.
We proposes novel JRRM techniques based on linear programming techniques, and investigates their
computational cost when implemented in DSP platforms commonly used in mobile-based stations. The obtained
results demonstrate the feasibility to implement the proposed JRRM algorithms in future heterogeneous
wireless systems.
JRRM techniques have been implemented following the JRRM server approach discussed in the 3GPP
standards. This approach considers a centralized architecture that places the JRRM functionality in a node that
collects information of all available RATs.1
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2. Since the JRRM techniques use utility functions to estimate the users’ QoS demands, only updated information
about each RAT’s load must be transmitted to the JRRM server. Using this information, the implemented
JRRM techniques manage the available radio resources to maximize the percentage of satisfied users.
3. INTRODUCTION:
The evolution of mobile and wireless communication systems is being characterized by the coexistence of
diverse Radio Access Technologies (RAT) with different, but sometimes complementary, technical
characteristics. In parallel, novel user applications are continuously appearing with diverse Quality of Service
(QoS) requirements. Despite the appearance of novel RATs with increasing performance, the research
community agrees that future mobile and wireless communication systems will be composed of heterogeneous
RATs physically coexisting and offering mobile services to a wide range of QoS-demanding users in a
coordinated manner.
Future heterogeneous wireless systems are the coordinated management of heterogeneous radio resources,
usually referred as Joint Radio Resource Management (JRRM) or Common Radio Resource Management
(CRRM). The Third Generation Partnership Project (3GPP) defines the JRRM concept and describes different
supporting network architectures that ensure the interoperability between the different access technologies.
JRRM policies need then to be designed so that the total available radio resources are efficiently distributed
among active users in order to maximize the system revenue and provide the QoS levels demanded by
users/services in multimedia environments to carry out the most efficient use of the total available resources.
JRRM policies must decide for each incoming call the RAT over which it will be conveyed (RAT selection) and
the number of radio resources within the selected RAT (intra-RAT RRM) that will be necessary to satisfy the
user/service QoS requests. JRRM policy and resulting radio resource assignments should be capable to
dynamically adapt to the current operating conditions, for example system load and active multimedia services.
We describes the framework over which JRRM algorithms can be developed, and proposes some basic
techniques to address the initial RAT selection dilemma based on pre-established service-to-RAT assignments
and user location. Other studies have investigated how to exploit multi technology terminals capability to switch
between RATs in order to free the capacity required to accept new calls from single-mode terminals.
For example, the JRRM load balancing mechanism reported in aims at achieving a uniform traffic distribution
between the available RATs. As the authors point out, such uniform distribution is desirable in order to
maximize the trucking gain and minimize the probability of making unnecessary Vertical Handovers (VHO) of
multi technology terminals between RATs. For Non real-time services, the load balancing is performed based
4. on the measured buffer delay, while the authors propose a mechanism based on load thresholds for real time
services.
Proposals to jointly address the RAT selection and intra-RAT RRM dilemmas have also been reported. For
example, a Joint Call Admission Control (JCAC) algorithm that combines the RAT selection and Call
Admission Control (CAC) mechanisms in order to reduce the call blocking and dropping probabilities, and
ensure a fair radio resource allocation.
We proposed novel JRRM policies that simultaneously assign to each user an adequate combination of RAT
and number of radio resources within such RAT to guarantee the user/service QoS requirements. The proposed
JRRM techniques are based on linear programming and optimization techniques.
QoS performance that can be achieved by novel JRRM techniques, but have not investigated their
computational cost and implementation feasibility in evaluation of the computational efficiency of new
proposals is widely conducted in other research fields like audio and video real-time compression, where the
time spent by the algorithm to process the data is crucial to provide a good performance to the end user.
The result of this study is of relevance to the research community since it demonstrates the feasibility of
implementing complex JRRM policies, and provides the first indications on their hardware computational
performance in time requirements are not as demanding as for audio and video compression techniques, JRRM
decisions in mobile networks should be made as quickly as possible in order to be able to efficiently adapt the
use of the radio resources networks.
5. LITRAURE SURVEY:
Joint Call Admission Control Algorithm for Fair Radio Resource Allocation in Heterogeneous Wireless
Networks Supporting Heterogeneous Mobile Terminals
Author: O.E. Falowo and H.A. Chan, pp. 1-5, Jan. 2010
This paper proposes a joint call admission control (JCAC) algorithm to reduce this problem of unfairness. The
proposed JCAC algorithm makes call admission decisions based on mobile terminal modality (capability),
network load, and radio access technology (RAT) terminal support index. The objectives of the proposed JCAC
algorithm are to reduce call blocking/ dropping probability, and ensure fairness in allocation of radio resources
among heterogeneous mobile terminals in heterogeneous networks. We develop an analytical model to evaluate
the performance of the proposed JCAC scheme in heterogeneous wireless networks and derive expression for
call blocking / dropping probability. The performance of the proposed JCAC algorithm is compared with that of
other JCAC algorithm. Results show the proposed algorithm reduces call blocking/ dropping probability in the
networks, and ensure fairness in allocation of radio resources among heterogeneous terminals.
Common Radio Resource Management Policy for Multimedia Traffic in Beyond 3G Heterogeneous
Wireless Systems
Author: M.C. Lucas-Estan˜ , J. Goza´lvez, and J. Sa´nchez-Soriano, pp. 1-5, Sept. 2008.
Beyond 3G wireless systems will be composed of a variety of radio access technologies (RATs) with different,
but also complementary, performance and technical characteristics. To exploit such diversity while
guaranteeing the interoperability and efficient management of the different RATs, common radio resource
management (CRRM) techniques need to be defined. This work proposes and evaluates a CRRM policy that
simultaneously assigns to each user an adequate combination of RAT and number of radio resources within
such RAT to guarantee its QoS requirements. The proposed CRRM technique is based on linear objective
functions and programming tools.
H.263 Video Traffic Modelling for Low Bit Rate Wireless Communications
Author: O. Lazaro, D. Girma, and J. Dunlop, pp. 2124-2128, Sept. 2005.
Video traffic exhibits a greater complexity than traditional services such as voice. Therefore, it is necessary to
identify the relevant statistical properties, which characterise this type of traffic and provide the tools to
properly model them so that networks could be efficiently dimensioned. This work presents on one hand a
detailed analysis of the statistical features, which characterise H.263 video traffic streams coded at bit rates
6. suitable for wireless communications. On the other hand, the paper presents and evaluates an on-line video
traffic model, which captures the most significant features observed.
A Perspective on Radio Resource Management in B3G
Author: O. Sallent, pp. 30-34, Sept. 2006.
Beyond 3G usually refers to heterogeneous scenarios where different radio access technologies (RATs) coexist
and operate in a coordinated way. This brings a new challenge to offer services to the users over an efficient and
ubiquitous radio access. In this way, the user can be served through the RAT that fits better to the terminal
capabilities and service requirements, and also a more efficient use of the radio resources can be achieved. This
challenge calls for the introduction of new radio resource management (RRM) algorithms operating from a
common perspective that take into account the overall amount of resources offered by the available RATs. In
this context, this paper presents the framework for developing RRM algorithms in the B3G scenarios, including
some possible approaches.
7. EXISTING SYSTEM:
Existing of the benefits of common radio resource management (CRRM) for traffic management in an
environment where several different radio access technologies co-exist with cells on several hierarchical layers.
Load balancing, i.e., the capacity gains from CRRM concept are studied by dynamic simulations for both real-
time and non-real-time traffic. The results show that CRRM improves the conversational and streaming
capacity by 11% with 144 kbps and the interactive capacity up to 70-90% when 5 s delays is required with 80-
85% probability.
Previous work on CRRM and RAT selection has mainly focused on the development of solutions aimed at
maximizing the overall system capacity, the design of strategies from the QoS-provision viewpoint has received
less attention.
CRRM work reported in focused on the development of new CRRM techniques designed to efficiently
distribute heterogeneous traffic among the available RATs in order to provide appropriate user/service QoS
levels while adequately exploiting the available radio resources of each node distribute multimedia traffic in
heterogeneous RAT.
8. PROPOSED SYSTEM:
JRRM techniques, initially proposed in aimed at providing the highest possible homogeneous user satisfaction
levels to all service types by exploiting the QoS/resource flexibility offered by different services present in a
multimedia framework.
For example, email users do not require the same number of radio resources than a video conferencing session
to obtain the same user satisfaction levels. In this work, the user satisfaction is represented by utility values
identifying the radio resources needed per service class to achieve certain user QoS satisfaction levels.
Implemented JRRM techniques, this work considers a heterogeneous wireless environment where the General
Packet Radio Service (GPRS), Enhanced Data rates for GSM Evolution (EDGE), and High Speed Downlink
Packet Access (HSDPA) RATs physically coexist. The JRRM techniques have been implemented following the
JRRM server approach discussed in the 3GPP standards.
This approach considers a centralized architecture that places the JRRM functionality in a node that collects
information of all available RATs.1 since the JRRM techniques use utility functions to estimate the users’ QoS
demands, only updated information about each RAT’s load must be transmitted to the JRRM server. Using this
information, the implemented JRRM techniques manage the available radio resources to maximize the
percentage of satisfied users.
Advanced JRRM techniques for heterogeneous wireless networks implemented and evaluated techniques are
based on linear programming and optimization algorithms, and have been shown to achieve good system
performance under multimedia traffic conditions. To evaluate their implementation feasibility, the JRRM
techniques have been implemented in a DSP simulator software using open source linear programming solvers.
9. HARDWARE & SOFTWARE REQUIREMENTS:
HARDWARE REQUIREMENTS:
Processor - Pentium –IV
Speed - 1.1 GHz
RAM - 256 MB (min)
Hard Disk - 20 GB
Floppy Drive - 1.44 MB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
SOFTWARE REQUIREMENTS:
Operating System : Windows XP
Front End : Java JDK 1.7
Scripts : Java Script.
10. IMPLEMENTATION:
The proposed, implemented and evaluated techniques are based on linear programming and optimization
algorithms, and have been shown to achieve good system performance under multimedia traffic conditions. To
evaluate their implementation feasibility, the JRRM techniques have been implemented in a DSP simulator
software using open source linear programming solvers.
Demonstrated the feasibility of implementing the proposed JRRM techniques in real mobile communication
systems using powerful hardware and software tools in the computational execution cost can be further reduced
at the cost of eliminating the optimality condition in the radio resources distribution.
However, the obtained results show that both JRRM proposals satisfy their various objectives.
The majority of services achieve their minimum QoS level, and only when such level is guaranteed,
resources are additionally assigned to higher priority users.
The number of served users is the maximum possible satisfying the system and service constraints.
The service priorities criterion defined in correctly applied under radio resources shortage conditions.
12. REFERENCES:
[1] 3GPP, Improvement of Radio Resource Management (RRM) across RNS and RNS/BSS, Technical Report
25.881, v5.0.0, Jan. 2002.
[2] 3GPP, Improvement of Radio Resource Management (RRM) Across RNS and RNS/BSS Post-Rel-5,
Technical Report 25.891, v0.3.0, June 2003.
[3] J. Perez-Romero, O. Sallent, and R. Agusti, “Policy-Based Initial RAT Selection Algorithms in
Heterogeneous Networks,” Proc. Seventh IFIP Int’l Conf. Mobile and Wireless Comm. Networks (MWCN
’05), Sept. 2005.
[4] S.J. Lincke, “Vertical Handover Policies for Common Radio Resource Management,” Int’l J. Comm.
Systems, vol. 18, no. 6, pp. 527-543, Aug. 2005.
[5] A. Tolli, P. Hakalin, and H. Holma, “Performance Evaluation of Common Radio Resource Management
(CRRM),” Proc. IEEE Int’l Conf. Comm. (ICC ’02), vol. 5, pp. 3429-3433, Apr. 2002.
[6] O. Cabral, F.J. Velez, J. Rodriguez, V. Monteiro, A. Gameiro, and N.R. Prasad, “Optimal Load Suitability
Based RAT Selection for HSDPA and IEEE 802.11e Information Theory, and Aerospace and Electronic
Systems Technology (Wireless VITAE ’09), pp. 722-726, May 2009.
[7] Y. Guang, C. Jie, Y. Kai, Z. Ping, and V.O.K. Li, “Joint Radio Resource Management based on the Species
Competition Model,” Proc. IEEE Wireless Comm. and Networking Conf. (WCNC ’06), pp. 54-57, Apr. 2006.
[8] O.E. Falowo and H.A. Chan, “Joint Call Admission Control Algorithm for Fair Radio Resource Allocation
in Heterogeneous Wireless Networks Supporting Heterogeneous Mobile Terminals,” Proc. IEEE Seventh
Consumer Comm. and Networking Conf. (CCNC), pp. 1-5, Jan. 2010.
[9] L. Giupponi, R. Agusti, J. Pe´rez-Romero, and O. Sallent, “A Novel Approach for Joint Radio Resource
Management based on Fuzzy Neural Methodology,” IEEE Trans. Vehicular Technology, vol. 57, no. 3, pp.
1789-1805, May 2008.
13. [10] M.C. Lucas-Estan˜ , J. Goza´lvez, and J. Sa´nchez-Soriano, “Common Radio Resource Management Policy
for Multimedia Traffic in Beyond 3G Heterogeneous Wireless Systems,” Proc. IEEE 19th Int’l Symp. Personal,
Indoor, and Mobile Radio Comm., pp. 1-5, Sept. 2008.
[11] J. Goza´lvez, M.C. Lucas-Estan˜ , and J. Sa´nchez-Soriano, “Joint Radio Resource Management in Beyond
3G Heterogeneous Wireless Systems,” Proc. 11th Int’l Symp. Wireless Personal Multimedia Comm. (WPMC),
pp. 1-5, Sept. 2008.
[12] E.A. Yavuz and V.C.M. Leung, “Computationally Efficient Method to Evaluate the Performance of Guard-
Channel-Based Call Admission Control in Cellular Networks,” IEEE Trans. Vehicular Technology, vol. 55, no.
4, pp.1412-1424, July 2006.
[13] 3GPP, Services and Service Capabilities, Technical Specification 22.105, v6.3.0, 2005.
[14] P. Barford, M. Crovella, “Generating Representative Web Workloads for Network and Server Performance
Evaluation,” Proc. Int’l Conf. Measurement and Modeling of Computer Systems
(SIGMETRICS/PERFORMANCE ’98), pp. 151-160, June 1998.
[15] J. Ho, Y. Zhu, and S. Madhavapeddy, “Throughput and Buffer Analysis for GSM General Packet Radio
Service (GPRS),” Proc. IEEE Wireless Comms. and Networking Conf. (WCNC 1999), pp. 1427-1431, Sept.
1999.