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Proceedings Paper

An in-band self-organized MAC protocol for sensor networks
Author(s): Subir Biswas; Fan Yu
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Paper Abstract

This paper presents a self-organizing MAC protocol framework for distributed sensor networks with arbitrary mesh topologies. The novelty of the proposed ISOMAC (In-band Self-Organized MAC) protocol lies in its in-band control mechanism for exchanging TDMA slot information while distributed MAC scheduling. A fixed length bitmap vector is used in each packet header for exchanging relative slot timing information across immediate and up to 2-hop neighbors. It is shown that by avoiding explicit timing information exchange, ISOMAC can work without network-wide time synchronization which can be prohibitive for severely cost-constrained sensor nodes in very large networks. A slotclustering effect, caused by in-band bitmap constraints, causes ISOMAC to offer better spatial channel reuse compared to traditional distributed TDMA protocols. ISOMAC employs a partial node wake-up and header-only transmission strategy to adjust energy expenditure based on the instantaneous nodal data rate. Both analytical and simulation models have been developed for characterizing the proposed protocol. Results demonstrate that with in-band bitmap vectors of moderate length, ISOMAC converges reasonably quickly - approximately within 4 to 8 TDMA frame duration. Also, if the bitmap header duration is restricted within 10% of packet duration, the energy penalty of the in-band information is quite negligible. It is also shown that ISOMAC can be implemented in the presence of network time synchronization, although its performance without synchronization is just marginally worse than that with synchronization.

Paper Details

Date Published: 12 May 2006
PDF: 11 pages
Proc. SPIE 6248, Wireless Sensing and Processing, 62480H (12 May 2006); doi: 10.1117/12.667212
Show Author Affiliations
Subir Biswas, Michigan State Univ. (United States)
Fan Yu, Michigan State Univ. (United States)

Published in SPIE Proceedings Vol. 6248:
Wireless Sensing and Processing
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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