Lifetime Maximization in Mobile Sensor Networks with Energy Harvesting
This paper investigates mobility strategies of mo- mobile robots to improve the lifetime of a mobile sensor net- bile network with energy harvesting capability. The network lifetime work problem is formulated as a nonlinear non-convex optimization problem, which is solved distributively by a series of convex approximations and a novel saddle-point computation algo- algorithm. The convergence of the proposed method is guaranteed. rithm. Computer simulations showed quick convergence to the optimal solution in most cases, and verified the use of mobility for energy efficiency by showing its significant improvement to the network lifetime and relatively low cost in mobility.
Distributed Robot Systems Robotic Sensor Networks Saddle-Point Computation Energy Harvesting
Shengwei Yu C. S. George Lee
School of Electrical and Computer Engineering,Purdue University,West Lafayette,IN 47907,U.S.A
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
5911-5916
2011-05-09（万方平台首次上网日期，不代表论文的发表时间）