Scalable Channel Allocation and Access Scheduling for Wireless Internet-of-Things

Wireless communication channels are a scarce resource shared among multiple users in either scheduled or randomized fashions. We challenge a few design aspects of the widely used IEEE 802.11 MAC in wireless sensor networks (WSNs), such as the use of RTS, CTS, and ACK handshaking and the binary expon...

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Bibliographic Details
Published in:IEEE sensors journal 2013-10, Vol.13 (10), p.3596-3604
Main Authors: Di Wu, Lichun Bao, Liu, Chi Harold
Format: Article
Language:English
Subjects:
Allocations
channel resource allocation
Channels
Internet-of-things
latin squares
Remote sensors
Scheduling
Studies
Terminals
Wireless communication
Wireless communications
Wireless networks
wireless sensor networks
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Summary:Wireless communication channels are a scarce resource shared among multiple users in either scheduled or randomized fashions. We challenge a few design aspects of the widely used IEEE 802.11 MAC in wireless sensor networks (WSNs), such as the use of RTS, CTS, and ACK handshaking and the binary exponential backoff mechanisms, and argue that these key mechanisms incur high channel overhead and cannot effectively eliminate hidden terminal problems in multi-hop scenarios. Instead, we propose a set of efficient grid-based channel allocation and access scheduling algorithms using Latin squares, called as GAALS, for scalable WSNs with single-radio multi-channel communication capabilities. Using nodal location information and forming grids over the WSN deployment area, GAALS maps Latin squares to the grids, and dynamically assigns multiple channels to the WSN grids for channel access scheduling purposes. The fairness and scalability of GAALS are analyzed and evaluated in multiflow multihop WSNs with multi-channel capabilities. The results show that GAALS achieves much better performance than other multichannel protocols.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2013.2268159