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Wireless Networks
Erschienen in: Wireless Networks 3/2013

01.04.2013

Efficient reporting node selection-based MAC protocol for wireless sensor networks

verfasst von: Fatma Bouabdallah, Nizar Bouabdallah, Raouf Boutaba

Erschienen in: Wireless Networks | Ausgabe 3/2013

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Abstract

Wireless sensor networks rely on the cooperative effort of the densely deployed sensor nodes to report the detected events. As a result, sensor observations are highly correlated in the space domain. Typically, multiple sensor nodes may report the same event. Consequently, redundant information may be transmitted by the different sensor nodes, leading thus to unnecessary energy wastage. In this paper, we investigate the relationship between the spatial correlation and the number of reporting nodes by developing a new analytical model based on the theoretical framework of the CC-MAC (correlation-based collaborative medium access control) protocol (Vuran and Akyildiz in IEEE/ACM Trans Netw 14(2): 316–32912006). We show that the reporting task can be delegated to a small subset of sensor nodes without transgressing the distortion constraint. Building on this result, a simple spatial correlation medium access control protocol is then proposed to achieve further energy conservation and faster reporting latency than CC-MAC.
Vorheriger Artikel Weight Pick: an efficient packet selection algorithm for network coding based multicast retransmission in mobile communication networks
Nächster Artikel Analytical models for understanding space, backoff, and flow correlation in CSMA wireless networks

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Fußnoten
1
E(N) is the average consumed energy by the network when the number of reporting node is N.
 
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Metadaten
Titel
Efficient reporting node selection-based MAC protocol for wireless sensor networks
verfasst von
Fatma Bouabdallah
Nizar Bouabdallah
Raouf Boutaba
Publikationsdatum
01.04.2013
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 3/2013
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-012-0473-9

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