QoS Enabled Cross-Layer Multicast Routing over Mobile Ad Hoc Networks

Chander, Dinesh; Gujral, Rajneesh Kumar

doi:10.1016/j.procs.2017.12.030

Cited by 25 publications

(14 citation statements)

References 26 publications

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“…By presenting this approach, the authors have reduced the number of control messages and power consumption. Dinesh Chander and Rajneesh Kumar [10] have proposed QoS aware Cross-Layer Multicast Routing in Mobile Ad-Hoc Networks. Overall performance of the network may decrease due to the individual performance behavior of various layers in communication.…”

Section: Related Workmentioning

confidence: 99%

“…According to equation (10), if the routing path satisfies the minimum of total delay and maximum of total bandwidth and total residual energy, it is selected as an optimal routing path between source and the number of destinations. Update the solution: After calculating the fitness to the position of the artificial fish, it will be updated to the next position.…”

Section: Fitness or Food Concentrationmentioning

confidence: 99%

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Multi-Objective based Adaptive Meta-Heuristic Algorithm for Optimal Multicast Route Selection in Wireless Ad-Hoc Network

Jeyakumar

2019

IJEAT

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Mobile Ad-hoc Network (MANET) built by a lot of mobile nodes which are communicated over remote channel without having any centralized administration and fixed infrastructure. Multicasting is a method to forward a data packet from one node to a number of receivers’ node at a time. There are different challenges in a MANET because of restricted resources and dynamic network topology. Because of the node mobility, performance metrics of the network such as energy, delay, and bandwidth make uncertainty problems in MANET. These uncertainty problems affect the performance of optimal path selection between the source node and the number of destination nodes. So, in this paper, multi-objective based adaptive meta-heuristic algorithm is presented for optimal multicast route selection in MANET. Among the multicast routing paths, optimal routing path is selected using adaptive artificial fish swarm algorithm (AAFSA). For fitness calculation, three objective functions based on energy, delay and bandwidth are derived in this algorithm. Simulation results show that the performance of the proposed multicast routing protocol outperforms existing multicast routing protocols in terms of delivery ratio, delay, energy consumption and network lifetime.

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Section: Related Workmentioning

confidence: 99%

Section: Fitness or Food Concentrationmentioning

confidence: 99%

Multi-Objective based Adaptive Meta-Heuristic Algorithm for Optimal Multicast Route Selection in Wireless Ad-Hoc Network

Jeyakumar

2019

IJEAT

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“…However, the QMR is not suitable for high-speed scenarios because the path selection metric does not consider the timeliness of link quality. In [27], the QoS is enhanced by a Cross-layer Multicast Routing (CLMR) through a treebased multicast routing protocol. It exploits information of battery life, bandwidth from the physical layer, link stability factor from the routing layer and overhead of updating the tree from the application layer, and finally calculates the cost function based on the parameters of each layer.…”

Section: Related Workmentioning

confidence: 99%

“…However, the remaining energy information, available bandwidth information and queue length information come from the physical layer, MAC layer and LL layer respectively. Therefore, for MANET adopting traditional layer method, it is difficult to obtain information of other layers in the network layer [27]. As shown in Fig.…”

Section: Ql Idlementioning

confidence: 99%

An Adaptive on-Demand Multipath Routing Protocol With QoS Support for High-Speed MANET

Chen

Zhou

et al. 2020

IEEE Access

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The mobility and resource limitation of nodes are the critical factors that affect the performance of Mobile AD hoc network (MANET). The mobility of nodes will affect the stability of links, and the limitation of node resources will lead to congestion, so it is very difficult to design a routing protocol that supports quality of service (QoS) in MANET. Especially in the scenario of high-speed node movement, frequent link interruption will damages QoS performance, so it is necessary to design MANET routing protocol that can adapt to network topology changes to support QoS. In this paper, we propose a Topological change Adaptive Ad hoc On-demand Multipath Distance Vector (TA-AOMDV) routing protocol, which can adapt to high-speed node movement to support QoS. In this protocol, a stable path selection algorithm is designed, which not only takes node resources (residual energy, available bandwidth and queue length) as the path selection parameters, but also considers the link stability probability between nodes. Furthermore, in order to adapt to the rapid change of topology, link interrupt prediction mechanism is integrated into the protocol, which updates the routing strategy based on periodic probabilistic estimates of link stability. Different scenarios with node speed in the range of 10-50m/s, data rate in the range of 4-40kbps and number of nodes in the range of 10-100 are simulated on NS2 platform. Our results show that the QoS metrics (packet delivery rate, end-to-end delay, and throughput) of the proposed protocol are significantly improved when the node speed is higher than 30m/s although it is slightly better when the node speed is lower than 30m/s. Our on-demand multipath routing protocol demonstrates high potential to support QoS for high-speed MANET. INDEX TERMS Mobile ad hoc network, link stability, QoS, multipath routing, cross layer.

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“…Chander et al [9] a viable planning calculation Cross-layer directing for multicast was acquainted with upgrade the nature of administration utilizing a tree-based multicast steering convention which furnishes a three route improvement with snappy pivot time, decreases the energy and temperature than in separation. The investigation on Ad Hoc On-Demand Vector and Dynamic Manet On-Demand steering conventions are performed utilizing the Qualnet test system under the IPv4 and IPv6 guidelines.…”

Section: Related Workmentioning

confidence: 99%

Fuzzified Swarm Intelligence Framework Using Fpsor Algorithm for High-Speed Manet

Gopalan¹

2021

Preprint

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Ad-hoc routing protocols may be dispersed and involve every node in the route discovery process by making routing data more reliable. Mobile-Adhoc-Networks (MANETs) consist of many portable nodes that can commune directly with each other or through intermediate nodes. Repeatedly, nodes in MANETs operate with batteries and can roam freely, and thus, a node may exhaust its energy or move away without providing any notice to its cooperative nodes. In MANETs, a route consists of numerous links in sequence, and so, its lifetime is based on the lifetime of every node and also the wireless links among adjacent nodes. In this research work Fuzzified Particle Swarm Optimization oriented Routing (FPSOR) algorithm is planned to minimize data loss and computational overhead, which in turn maximizes the lifetime of MANETs. Particle Swarm Optimization oriented Routing protocol (PSOR) has taken energy competence as a significant criterion for processing routing and driving optimised path for the data accelerating and processing to the source node. The PSOR produces a fresh route for routing by considering the fitness value of energy to evaluate diverse paths and to choose the best-optimised path whose energy consumption is less as compared to ant colony optimization routing paths. This algorithm utilizes a good approach focusing energy levels/status of the nodes through fuzzification and the lengths of the routed ways. NS2 simulator is cast for performance evaluation.

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QoS Enabled Cross-Layer Multicast Routing over Mobile Ad Hoc Networks

Cited by 25 publications

References 26 publications

Multi-Objective based Adaptive Meta-Heuristic Algorithm for Optimal Multicast Route Selection in Wireless Ad-Hoc Network

Multi-Objective based Adaptive Meta-Heuristic Algorithm for Optimal Multicast Route Selection in Wireless Ad-Hoc Network

An Adaptive on-Demand Multipath Routing Protocol With QoS Support for High-Speed MANET

Fuzzified Swarm Intelligence Framework Using Fpsor Algorithm for High-Speed Manet

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