The energy optimization techniques developed for conventional ad hoc networks do not appropriately address the unique features of the wireless embedded sensor networks (WESNs). In the WESN environment, only reducing the overall energy consumption is not considered enough to maximize the life span of the entire network, but maintaining full network connectivity for a sufficiently long period of time is also an important design goal due to the energy constraints of each node. The wireless radio is a major energy user and is often the focus of energy conservation mechanisms, since the nodes communicate in a shared medium (air interface). The medium access control (MAC) layer of the communication protocol stack arbitrates access to the communications link by manipulating the sleep, listen, transmit, and receive states of the radio transceivers. The bursty traffic networks experience long periods of inactivity interrupted by unplanned and often short lived periods of high traffic loads. Currently available MAC protocols cannot meet application fidelity requirements of the bursty traffic networks since they are designed either for networks with periodic traffic or are not sufficiently traffic-adaptive, thereby introducing large multi-hop latency delays to realize network connectivity, overprovision during light traffic conditions, and slow ramp up at the initiation of a high traffic episode. This paper presents enhancements made to the energy efficient MAC protocol which is especially designed for the bursty traffic networks and in the process targets some available communication techniques used in the WESNs for discussion and comparison.
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1 September 2013
Research Article|
September 01 2013
Energy efficient optimization of wireless embedded sensor networks Available to Purchase
Mansour Assaf;
Mansour Assaf
1
Department of Electrical and Electronic Engineering, Faculty of Science and Technology, University of the South Pacific (USP), Suva, Fiji
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Salema Khan;
Salema Khan
2
Department of Information Technology, University of Trinidad and Tobago, Arima 7498, Trinidad and Tobago, West Indies
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Sunil Das;
Sunil Das
3
School of Information Technology and Engineering, Faculty of Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada
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Satyendra Biswas
Satyendra Biswas
4
School of Engineering and Computer Science, Independent University, Dhaka 1329, Bangladesh
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Publisher: Emerald Publishing
Online ISSN: 2515-8082
Print ISSN: 1708-5284
World Journal of Engineering (2013) 10 (3): 273–282.
Citation
Assaf M, Khan S, Das S, Biswas S (2013), "Energy efficient optimization of wireless embedded sensor networks". World Journal of Engineering, Vol. 10 No. 3 pp. 273–282, doi: https://doi.org/10.1260/1708-5284.10.3.273
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