Research Article
Optimized Geographic Routing in Mobile Ad Hoc Network Using Gray Wolf Optimization
@ARTICLE{10.4108/eai.13-7-2018.162832, author={Vimalnath S. and Ravi G.}, title={Optimized Geographic Routing in Mobile Ad Hoc Network Using Gray Wolf Optimization}, journal={EAI Endorsed Transactions on Energy Web}, volume={7}, number={28}, publisher={EAI}, journal_a={EW}, year={2020}, month={1}, keywords={Geographic routing protocol, Gray Wolf Optimization, MANETs, Location Accuracy}, doi={10.4108/eai.13-7-2018.162832} }- Vimalnath S.
Ravi G.
Year: 2020
Optimized Geographic Routing in Mobile Ad Hoc Network Using Gray Wolf Optimization
EW
EAI
DOI: 10.4108/eai.13-7-2018.162832
Abstract
The geographic routing protocol (GRP) in general seeks the location of sensor nodes to decide the routing path in mobile ad hoc network. This increases the routing overhead while finding the location of nodes. On other hand, the GRP undergoes location inaccuracy and routing void problem. In order to resolve this, in this paper, Gray Wolf Optimization (GWO) is used. This GWO is responsible for proper selection of nodes selected by GRP based on the parameters and selection criteria in order to forward the packets to the next forwarding nodes to reach its destination. The simulation is carried out effectively between the GWO-GRP and existing ACO and fuzzy based GRP with varying network densities. The simulation results show that the GWO-GRP method achieves reduced average delay, increased network lifetime and reduced energy consumption than other methods. Further, it avoids the problems associated with GRP i.e. the location inaccuracy and routing void problem.
Copyright © 2020 Vimalnath S. et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
