DocumentCode
2543365
Title
Mobility and routing joint design for lifetime maximization in mobile sensor networks
Author
Yu, Shengwei ; Lee, C. S George
Author_Institution
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
2011
fDate
25-30 Sept. 2011
Firstpage
2300
Lastpage
2305
Abstract
The positions of mobile sensor nodes and the routing of sensing data to a base station for processing have major impact on the lifetime of a mobile sensor network. Based on our previous work on mobility for lifetime maximization, this paper investigates simultaneously designing mobility and routing strategies of robotic sensor nodes to improve the lifetime of a mobile sensor network. The network lifetime problem was formulated as a nonlinear non-convex optimization problem and is solved distributedly by a series of convex approximations and a proposed novel algorithm. Computer simulations illustrated quick convergence to the solution, and the lifetime of the network was improved tremendously. By comparison, the proposed joint design method has an edge over other methods, which further justifies the use of mobility for energy efficiency in robotic sensor networks.
Keywords
approximation theory; concave programming; design; energy conservation; mobile robots; mobility management (mobile radio); nonlinear programming; telecommunication control; telecommunication network routing; wireless sensor networks; base station; computer simulation; convex approximation; energy efficiency; lifetime maximization; mobile sensor network; mobility strategy designing; nonlinear nonconvex optimization problem; robotic sensor network; robotic sensor nodes; routing joint design; routing strategy designing; sensing data routing; Approximation algorithms; Approximation methods; Mobile communication; Mobile computing; Robot sensing systems; Routing; Distributed Robot Systems; Robotic Sensor Networks; Saddle-Point Computation; Sequential Convex Approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location
San Francisco, CA
ISSN
2153-0858
Print_ISBN
978-1-61284-454-1
Type
conf
DOI
10.1109/IROS.2011.6094564
Filename
6094564
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