Title :
Lifetime maximization in mobile sensor networks with energy harvesting
Author :
Yu, Shengwei ; Lee, C. S George
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
This paper investigates mobility strategies of mobile robots to improve the lifetime of a mobile sensor network with energy harvesting capability. The network lifetime 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 algorithm. The convergence of the proposed method is guaranteed. 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.
Keywords :
concave programming; energy conservation; mobile robots; nonlinear programming; sensors; convex approximation; energy efficiency; energy harvesting capability; lifetime maximization; mobile robot; mobile sensor network; mobility strategy; nonlinear nonconvex optimization problem; saddle-point computation algorithm; Approximation algorithms; Approximation methods; Mobile communication; Mobile computing; Mobile robots; Robot sensing systems; Distributed Robot Systems; Energy Harvesting; Robotic Sensor Networks; Saddle-Point Computation;
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-386-5
DOI :
10.1109/ICRA.2011.5979588