Mobility‐aware route selection technique for mobile<i>ad hoc</i>networks

Sarkar, Sajal; Datta, Raja

doi:10.1049/iet-wss.2016.0058

Cited by 25 publications

(9 citation statements)

References 32 publications

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“…However, this is very helpful for reducing congestion in wired networks. In [29], we have suggested a more stable route choice scheme depending on the mobility of nodes in the network. As per the scheme, a route is selected for data transmission depending on value point of the speed of the node, direction of movement and pause duration.…”

Section: Related Workmentioning

confidence: 99%

Design of Novel Mobility and Obstacle-Aware Algorithm for Optimal MANET Routing

2021

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Existence obstacles in terrain area and the mobility of the nodes in the network are the vital constrains that degrade the performance in Mobile Adhoc Network (MANET). To diminish the effect of such obstacles and mobility on the performance of MANET, the protocol used for routing must be efficient enough to handle both the factors. In the present work, we have considered the issues of Mobility and obstacle aware multipath communication in MANET. For avoiding obstacles, DeCasteljau Algorithm with Bezier curve concept has been applied. To the minimize impact of mobility, a speed based mobility prediction concept is used. Here optimal routing path across the obstacle is selected depending on its mobility prediction indicator, link duration, network connectivity and path availability. The performance of the suggested protocol is evaluated with Network Simulator-2. Simulation results confirm that the suggested protocol minimizes average energy consumption, network overhead, average delay and improves data deliverance in MANET.

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Section: Related Workmentioning

confidence: 99%

Design of Novel Mobility and Obstacle-Aware Algorithm for Optimal MANET Routing

2021

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“…Moreover, a correlation factor is presented which defines the number of links between each two disjoint paths to minimize the interferences between multiple paths to achieve better QoS with improved network resource utilization. Sarkar et al [44] proposed a point-based mobility factor computing technique for route selection which provides better routing performance for frequent topology changing scenarios in MANETs. The point-based mobility factor value is estimated based on the pause time, speed and moving direction of the mobile nodes for the static and dynamic scenario.…”

Section: Related Workmentioning

confidence: 99%

Mobility, Residual Energy, and Link Quality Aware Multipath Routing in MANETs with Q-learning Algorithm

et al. 2019

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To facilitate connectivity to the internet, the easiest way to establish communication infrastructure in areas affected by natural disaster and in remote locations with intermittent cellular services and/or lack of Wi-Fi coverage is to deploy an end-to-end connection over Mobile Ad-hoc Networks (MANETs). However, the potentials of MANETs are yet to be fully realized as existing MANETs routing protocols still suffer some major technical drawback in the areas of mobility, link quality, and battery constraint of mobile nodes between the overlay connections. To address these problems, a routing scheme named Mobility, Residual energy and Link quality Aware Multipath (MRLAM) is proposed for routing in MANETs. The proposed scheme makes routing decisions by determining the optimal route with energy efficient nodes to maintain the stability, reliability, and lifetime of the network over a sustained period of time. The MRLAM scheme uses a Q-Learning algorithm for the selection of optimal intermediate nodes based on the available status of energy level, mobility, and link quality parameters, and then provides positive and negative reward values accordingly. The proposed routing scheme reduces energy cost by 33% and 23%, end to end delay by 15% and 10%, packet loss ratio by 30.76% and 24.59%, and convergence time by 16.49% and 11.34% approximately, compared with other well-known routing schemes such as Multipath Optimized Link State Routing protocol (MP-OLSR) and MP-OLSRv2, respectively. Overall, the acquired results indicate that the proposed MRLAM routing scheme significantly improves the overall performance of the network.

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“…This paper has reviewed and illustrated some of the recent literature in this section. (Sarkar & Datta, 2017) presented a route selection technique that introduced trust-based mobility aware routing to estimate the mobility factor value using the pause time, speed, and moving angular direction of mobile nodes for static and dynamic scenarios. Mobility aware routing selects nodes with high threshold values of mobility factor between a source and destination to improve network stability.…”

Section: Related Workmentioning

confidence: 99%

Contention Window and Residual Battery Aware Multipath Routing Schemes in Mobile Ad-hoc Networks

Tilwari¹,

Hindia²,

Dimyati³

et al. 2019

IJTech

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In mobile ad hoc networks, limited energy resources and traffic congestion at the nodes are crucial issues due to the nodes being battery operated and flooding the network with packets, respectively. These issues degrade network routing performance in terms of quality of service. In this study, we proposed a contention window and residual battery-aware multipath routing scheme to enhance network performance. Our proposed routing scheme has successfully diverted the traffic load from a low energy node to a high energy node while also controlling congestion among intermediate nodes. A multi-criteria decision-making technique was also used for the selection criteria of an intermediate node in the optimal path, based on the mobility and window size contention of nodes. Eventually, the contention window and residual battery-aware multipath routing scheme has enhanced throughput, attenuated the packet loss ratio, and reduced the energy consumption in comparison to a conventional multipath optimized link state routing protocol routing scheme.

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Mobility‐aware route selection technique for mobilead hocnetworks

Cited by 25 publications

References 32 publications

Design of Novel Mobility and Obstacle-Aware Algorithm for Optimal MANET Routing

Design of Novel Mobility and Obstacle-Aware Algorithm for Optimal MANET Routing

Mobility, Residual Energy, and Link Quality Aware Multipath Routing in MANETs with Q-learning Algorithm

Contention Window and Residual Battery Aware Multipath Routing Schemes in Mobile Ad-hoc Networks

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