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Span: An energy-efficient coordination algorithm for topology maintenance in Ad Hoc wireless networks

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International Conference on Mobile Computing and Networking archive
Proceedings of the 7th annual international conference on Mobile computing and networking table of contents

Rome, Italy

Pages: 85 - 96

Year of Publication: 2001

ISBN:1-58113-422-3

Authors

Benjie Chen	Lab or atorfyor Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts
Kyle Jamieson	Lab or atorfyor Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts
Hari Balakrishnan	Lab or atorfyor Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts
Robert Morris	Lab or atorfyor Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts

Sponsor

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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ACM New York, NY, USA

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Downloads (6 Weeks): 3, Downloads (12 Months): 56, Citation Count: 211

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ABSTRACT

This paper presents Span, a power saving technique for multi-hop ad hoc wireless networks that reduces energy consumption without significantly diminishing the capacity or connectivity of the network. Span builds on the observation that when a region of a shared-channel wireless network bag a sufficient density of nodes, only a small number of them need be on at any time to forward traffic for active connections.

Span is a distributed, randomized algorithm where nodes make local decisions on whether to sleep, or to join a forwarding backbone as a coordinator. Each node bases its decision on an estimate of how many of its neighbors will benefit from it being awake, and the amount of energy available to it. We give a randomized algorithm where coordinators rotate with time, demonstrating how localized node decisions lead to a connected, capacity-preserving global topology.

Improvement in system lifetime due to Span increases as the ratio of idle-to-sleep energy consumption increases, and increases as the density of the network increases. For example, our simulations show that with a practical energy model, system lifetime of an 802.11 network in power saving mode with Span is a factor of two better than without. Span integrates nicely with 802.11—when run in conjunction with the 802.11 power saving mode, Span improves communication latency, capacity, and system lifetime.

REFERENCES

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