| Title: | Energy-Balanced Routing Algorithm Based on Ant Colony Optimization for Mobile Ad Hoc Networks |
| Author(s): | Yang D; Xia H; Xu E; Jing D; Zhang H; |
| Address: | "State Key Laboratory of Integrated Service Network, Xidian University, Xi'an 710071, China. dyang@mail.xidian.edu.cn. State Key Laboratory of Integrated Service Network, Xidian University, Xi'an 710071, China. hxxia@xidian.edu.cn. Nantong Normal College, Nantong 226010, China. hxxia@xidian.edu.cn. State Key Laboratory of Integrated Service Network, Xidian University, Xi'an 710071, China. yhruan@xidian.edu.cn. State Key Laboratory of Integrated Service Network, Xidian University, Xi'an 710071, China. dongliangjing@126.com. State Key Laboratory of Integrated Service Network, Xidian University, Xi'an 710071, China. hlzhang@xidian.edu.cn" |
| ISSN/ISBN: | 1424-8220 (Electronic) 1424-8220 (Linking) |
| Abstract: | "The mobile ad hoc network (MANET) is a multi-hop, non-central network composed of mobile terminals with self-organizing features. Aiming at the problem of extra energy consumption caused by node motion in MANETs, this paper proposes an improved energy and mobility ant colony optimization (IEMACO) routing algorithm. Firstly, the algorithm accelerates the convergence speed of the routing algorithm and reduces the number of route discovery packets by introducing an offset coefficient of the transition probability. Then, based on the energy consumption rate, the remaining lifetime of nodes (RLTn) is considered. The position and velocity information predicts the remaining lifetime of the link (RLTl). The algorithm combines RLTn and RLTl to design the pheromone generation method, which selects the better quality path according to the transition probability to ensure continuous data transmission. As a result, the energy consumption in the network is balanced. The simulation results show that compared to the Ad Hoc on-demand multipath distance vector (AOMDV) algorithm with multipath routing and the Ant Hoc Max-Min-Path (AntHocMMP) algorithm in consideration of node energy consumption and mobility, the IEMACO algorithm can reduce the frequency of route discovery and has lower end-to-end delay as well as packet loss rate especially when nodes move, and can extend the network lifetime" |
| Keywords: | "*Algorithms Animals Ants/physiology *Computer Communication Networks Computer Simulation Pheromones energy constraint, ant colony optimization algorithm, convergence, remaining lifetime;" |
| Notes: | "MedlineYang, Dong Xia, Hongxing Xu, Erfei Jing, Dongliang Zhang, Hailin eng Switzerland 2018/10/31 Sensors (Basel). 2018 Oct 28; 18(11):3657. doi: 10.3390/s18113657" |
