Energy-balanced multi-hop-aware cooperative geographic routing for wireless ad hoc networks

Authors

  • Wentong Fan Aeronautics and Astronautics Engineering College, Air Force Engineering University, 710038 Xi'an, China
  • Song Zhang Unit 95980 of the People’s Liberation Army, 441100 Xiangyiang, China
  • Linhua Ma Aeronautics and Astronautics Engineering College, Air Force Engineering University, 710038 Xi'an, China
  • Le Ru Aeronautics and Astronautics Engineering College, Air Force Engineering University, 710038 Xi'an, China
  • Hong Tang Aeronautics and Astronautics Engineering College, Air Force Engineering University, 710038 Xi'an, China
  • Yu Tian Unit 95876 of the People’s Liberation Army, 734100 Zhangye, China

Keywords:

cooperation communication, energy balanced, power saving, geographic routing, wireless ad hoc network

Abstract

Since the cooperative communication can reduce the transmitted power and extend the transmission coverage, minimum energy routing protocols are considered to reduce the total energy consumption in a multi-hop wireless Ad Hoc network. In this paper, an Energy-balanced Multi-hop-aware Cooperative Geographic Routing (EMCGR) algorithm is proposed. We firstly formulate the outage probability and construct the minimum power route in Multi-hop-aware Cooperative Transmission (MCT) mode. The MCT mode can fully exploit the merit of the relay broadcasting characteristics to achieve the aim of saving the total transmitted power. Then an improved Energy-Balanced Geographic Routing (EBGR) algorithm is designed. The EBGR algorithm selects the next hop forwarding node by combining the geographic position information and energy information. The goal of this strategy is to balance the energy consumption among nodes so that the lifetime of the whole network can be prolonged. The route of the proposed EMCGR algorithm is based on EBGR algorithm. Simulation results show that in the same computer simulation scene, the power saving of the EMCGR algorithm with respect to the MPCR algorithm and EBGR algorithm can achieve 15.2% and 67.1%, respectively. Besides, the EMCGR algorithm does well in balancing the energy consumption among nodes in the wireless Ad Hoc network.

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Published

2016-04-08