By Topic

Optimal Utility-Lifetime Trade-off in Self-regulating Wireless Sensor Networks: A Distributed Approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Nama, H. ; WINLAB, Rutgers Univ. ; Mung Chiang ; Mandayam, N.

The performance of wireless sensor network applications is typically a function of the amount of data collected by the individual sensors and delivered to a set of sinks through multi-hop routing within the network. However, the energy-constrained nature of the nodes limits the operational lifetime of the network since energy is dissipated both in sensing and in communicating data across the network. There is thus an inherent trade-off in simultaneously maximizing the application performance (characterized here by a network utility function) and the network lifetime. In this paper, we characterize this trade-off by considering a cross-layer design problem in a wireless sensor network with orthogonal link transmissions. We compute an optimal set of source rates, network flows, and radio resources at the transport, network, and radio resource layers respectively, while jointly maximizing the network utility and lifetime. Through the framework of "layering as optimization decomposition", we show that the cross-layer optimization problem decomposes both horizontally (across nodes) and vertically (across different layers in the protocol stack) into simpler subproblems allowing a fully distributed solution.

Published in:

Information Sciences and Systems, 2006 40th Annual Conference on

Date of Conference:

22-24 March 2006