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Online energy aware routing in wireless networks
Authors:Aravind B Mohanoor  Sridhar Radhakrishnan  Venkatesh Sarangan
Affiliation:1. School of Computer Science, University of Oklahoma, 200 Felgar Street, Room 110, Norman, OK 73019, United States;2. Computer Science Department, Oklahoma State University, Stillwater, OK 74078, United States;1. Shannon Lab, Huawei Technologies Co., Ltd., Santa Clara, USA;2. Shannon Lab, Huawei Technologies Co., Ltd., Shenzhen, China;1. School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China;2. Department of Computer Science, University of Houston, Houston, TX, USA;1. Institute of Microelectronics & Department of Electrical Engineering Advanced Optoelectronic Technology Center, National Cheng Kung University, Tainan 70101, Taiwan;2. Institute of Creative Industries Research, Fuzhou University, Jimei, Xiamen 361024, Fujian, PR China
Abstract:Online energy aware routing in wireless networks is the problem of finding energy efficient routes that maximize the network lifetime without the knowledge of future message flows. To maximize network lifetime, the paths for message flows are chosen in such a way that the total energy consumed along the path is minimized while avoiding energy depleted nodes. Finding paths which consume minimum energy and finding paths which do not use energy depleted nodes lead to conflicting objectives. In this paper, we propose two-phased energy aware routing strategies that balance these two conflicting objectives by transforming the routing problem into a multi-metric widest path problem. We find that the proposed approaches outperform the best-known algorithms in the literature. We also demonstrate a simple but insightful relationship between the total energy required along a path and the minimum remaining energy of a node along the path. We further exploit this relationship to show that staying within the solution space of paths with high residual energy and low total energy provides much improved lifetimes in general.
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