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Timing Structure Mechanism of Wireless Sensor Network MAC layer for Monitoring Applications

Timing Structure Mechanism of Wireless Sensor Network MAC layer for Monitoring Applications

Basma M. Mohammad El-Basioni, Abdellatif I. Moustafa, Sherine M. Abd El-Kader, Hussein A. Konber
Copyright: © 2016 |Volume: 7 |Issue: 3 |Pages: 20
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781466692145|DOI: 10.4018/IJDST.2016070101
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MLA

El-Basioni, Basma M. Mohammad, et al. "Timing Structure Mechanism of Wireless Sensor Network MAC layer for Monitoring Applications." IJDST vol.7, no.3 2016: pp.1-20. http://doi.org/10.4018/IJDST.2016070101

APA

El-Basioni, B. M., Moustafa, A. I., El-Kader, S. M., & Konber, H. A. (2016). Timing Structure Mechanism of Wireless Sensor Network MAC layer for Monitoring Applications. International Journal of Distributed Systems and Technologies (IJDST), 7(3), 1-20. http://doi.org/10.4018/IJDST.2016070101

Chicago

El-Basioni, Basma M. Mohammad, et al. "Timing Structure Mechanism of Wireless Sensor Network MAC layer for Monitoring Applications," International Journal of Distributed Systems and Technologies (IJDST) 7, no.3: 1-20. http://doi.org/10.4018/IJDST.2016070101

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Abstract

This paper aims at designing a Timing Structure Mechanism (TSM) for Wireless Sensor Network (WSN) MAC, with specifying its respective logical topology, especially suitable to the monitoring applications, differentiated and characterized from the existing time bounding strategies, paving for a good performance channel access mechanism. The work proposed in this paper is based on classifying the monitoring applications so as to designing efficient setup and benefiting from the node's capabilities in dividing the network into sub-networks. By evaluating TSM against a cluster-tree IEEE802.15.4 in the two cases of one channel and multi-channel clusters, the simulation results showed that with varying the area, the TSM performs better than the two cases of IEEE802.15.4 in terms of lifetime, end-to-end delay, loss percentage by on average 103.44% and 61.84%, 96.59% and 95.37%, and 88.59% and 87.52%, respectively. Also, in case of increasing the node density, TSM is better in terms of the same parameters by on average 446.58% and 356.05%, 98.04% and 95.62%, and 77.62% and 75.2%, respectively.

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