DocumentCode
2687844
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
fYear
2011
fDate
9-13 May 2011
Firstpage
5911
Lastpage
5916
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location
Shanghai
ISSN
1050-4729
Print_ISBN
978-1-61284-386-5
Type
conf
DOI
10.1109/ICRA.2011.5979588
Filename
5979588
Link To Document