Network Life Time maximization of the AOMDV Protocol Using Nodes Energy Variation

Author:

AOUIZ Amir Abdelkader,BOUKLI HACENE Sofiane,Lorenz Pascal,GILG Marc

Abstract

Mobile ad hoc network presents generally several challenges such as high dynamic topology, packet loss and frequent routes discovering that result in low throughput and reduced packet delivery ratio. To reduce the number of route discovering process, multipath routing protocols makes use of alternate paths to continue packets transmission. Ad Hoc On-demand, multipath distance vector routing protocol or AOMDV, is one of the well-known multipath protocols that relays on the hop count metric to route packets. However maintaining disjoint active routes can reduce nodes life time and lead to more control messages like error and discovering packets. In this paper, a pre-emptive approach is proposed based on the historical values of nodes energy. Nodes that excessively consume energy in time are considered overloaded and are excluded from route discovering, hence nodes with reduced energy variation are selected to route packets. Simulation results show reduced number of dead nodes by 30 %, overhead by 16%.

Publisher

Macrothink Institute, Inc.

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Overload Detection and Energy Conserving Routing Protocol for Underwater Acoustic Communication;International Journal of Wireless Networks and Broadband Technologies;2022-07-08

2. Load balancing Technique toward Congestion minimization in WSN-enabled-Healthcare;2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES);2021-12-17

3. UAV-Assisted Hybrid Scheme for Urban Road Safety Based on VANETs;Electronics;2020-09-12

4. A New AOMDV Lifetime Prolonging Routing Algorithm for Ad-Hoc Networks;International Journal of Interdisciplinary Telecommunications and Networking;2019-10

5. Channel Busyness Based Multipath Load Balancing Routing Protocol for Ad hoc Networks;IEEE Network;2019-09

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