Efficient node discovery in mobile wireless sensor networks

Vladimir Dyo
,
Cecilia Mascolo

University of Cambridge

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

In this paper we propose an algorithm for energy efficient node discovery in sparsely connected mobile wireless sensor networks. The work takes advantage of the fact that nodes have temporal patterns of encounters and exploits these patterns to drive the duty cycling. Duty cycling is seen as a sampling process and is formulated as an optimization problem. We have used reinforcement learning techniques to detect and dynamically change the times at which a node should be awake as it is likely to encounter other nodes. We have evaluated our work using real human mobility traces, and the paper presents the performance of the protocol in this context.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

Published - 01/01/2008

Publication status

Published - 01/01/2008

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9783540691693

ISBN (Electronic)

9783540691693

External Publication IDs

handle.net: 10547/272052
Scopus: 45849117221

Host publication title

nan

Access to documents

10.1007/978-3-540-69170-9_33

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