2015
DOI: 10.5815/ijisa.2015.07.07
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Energy Aware Ad Hoc On-Demand Multipath Distance Vector Routing

Abstract: Abstract-The current disjoint path Ad hoc On-Demand Multipath Distance Vector (AOMDV) routing protocol does not have any energy-awareness guarantees. When AOMDV is used in wireless sensor networks (WSNs) energy is an important consideration. To enhance the AOMDV protocol an extra energy metric is added along with the hop count metric. This Energy aware or EA-AOMDV improves path selection using a trade-off between energy and hop count, thus giving more longevity to WSNs. EA-AOMDV is compared to the current AOMD… Show more

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Cited by 14 publications
(10 citation statements)
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References 30 publications
(23 reference statements)
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“…Evaluation of the overall performance of ZBLE, AOMDV and AODV routing protocols in this research especially based on energy consumption. The performance has been evaluated by way of simulating those protocols via NS-2 Version ns2.35 (Network Simulator -ns2) [20][21][22][23][24][25][26][27][28][29][30][31]. The simulation workflow is shown in figure 1.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Evaluation of the overall performance of ZBLE, AOMDV and AODV routing protocols in this research especially based on energy consumption. The performance has been evaluated by way of simulating those protocols via NS-2 Version ns2.35 (Network Simulator -ns2) [20][21][22][23][24][25][26][27][28][29][30][31]. The simulation workflow is shown in figure 1.…”
Section: Methodsmentioning
confidence: 99%
“…In this paper [28], Author has proposed an energy-aware AOMDV (EA-AOMDV) routing protocol. Considering both the residual energy and the minimum residual energy of a node, the paths with weak paths are avoided.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the proposed method the following features were added: Drawback: Energy consumption is one of the most important concerns in the implementation of ad-hoc networks [16][17][18][19]. In this scheme, path selection based on the shortest path in view of shorter battery life is not conducted.…”
Section: Enhancement To Improve Performancementioning
confidence: 99%
“…Xu et al introduce a geographical adaptive fidelity algorithm that reduces energy consumption in ad hoc wireless networks. Khan and Goodridge improve path selection using a trade‐off between energy and hop count, thus giving more longevity to WSNs. Chang et al propose an algorithm using the direction, density, and distance between nodes in the crossroad routing strategy to improve the link stability.…”
Section: Related Workmentioning
confidence: 99%