Paper
12 May 2006 An in-band self-organized MAC protocol for sensor networks
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Subir Biswas and Fan Yu "An in-band self-organized MAC protocol for sensor networks", Proc. SPIE 6248, Wireless Sensing and Processing, 62480H (12 May 2006); https://doi.org/10.1117/12.667212
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Raster graphics

Sensors

Sensor networks

Data modeling

Performance modeling

Computer simulations

Energy efficiency

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