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Adaptive-atom whale optimization algorithm using autonomous mobile ad hoc network for energy-efficient multipath routing
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作者 suresh r.halhalli B.N.Jagdale Shounak Rushikesh Sugave 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2020年第6期1-22,共22页
Mobile ad hoc network(MANET)consists of a group of self-operated mobile nodes that form a network without considering predefined infrastructure.In the network,each node poses less energy due to battery-operated sensor... Mobile ad hoc network(MANET)consists of a group of self-operated mobile nodes that form a network without considering predefined infrastructure.In the network,each node poses less energy due to battery-operated sensor nodes.Numerous methods are devised for routing,but each method suffered from the energy constraint.This paper proposes an energy-efficient multipath routing protocol for exploiting different routes between source and destination to mitigate energy constraints.The key idea is to determine the optimal path from a set of paths available between the source and the target node.To improve the security in routing protocol,the factors,like energy,trust,and mobility are considered as major components.Here,the trust is modeled by considering trust factors,like average encounter rate(AER),successful cooperation frequency(SCF),direct trust,integrity factor,and forwarding rate factor.Moreover,secure routing is performed between the nodes using the proposed Adaptive-Atom Whale Optimization algorithm(AdaptiveAWOA).The proposed (Adaptive-AWOA)is designed by incorporating the Adaptive concept in the Atom Whale Optimization algorithm(AWOA).The fitness function is newly modeled considering mobility,energy,and trust factors.The proposed AdaptiveAWOA outperformed the other methods with a minimal end-to-end delay of 0.009,maximal throughput of 85.802%and maximal packet delivery ratio(PDR)of 97.391%,respectively. 展开更多
关键词 MANET energy multipath routing trust mobility
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