Clustering with discrete power control in wireless sensor networks

Aslam, Nauman, Robertson, William and Phillips, William (2009) Clustering with discrete power control in wireless sensor networks. In: Proceedings of the 3rd International Conference on Sensor Technologies and Applications. IEEE, Piscataway, NJ, pp. 43-48. ISBN 978-0769536699

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This paper investigates the effects of using a realistic discrete power model in cluster-based communication for Wireless Sensor Networks (WSNs). Four different clustering protocols are evaluated by incorporating a model compliant with Crossbow MICAz motes. The energy consumption model takes into account the discrete transmit power levels of the CC2420 radio chip used by MICAz sensor nodes. The radio propagation path loss is modeled by using the lognormal Shadowing Model. The significance of discrete power model is demonstrated by a comparison with the conventional model using metrics such as transmission cost, network lifetime and mean energy consumed. The simulation results demonstrate that realistic assumptions can affect the system behaviour drastically in comparison with the results obtained under ideal conditions.

Item Type: Book Section
Additional Information: SENSORCOMM '09. Third International Conference on Sensor Technologies and Applications, 2009, held from 18-23 June 2009, in Athens, Glyfada.
Subjects: G400 Computer Science
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Sarah Howells
Date Deposited: 23 Aug 2012 10:55
Last Modified: 12 Oct 2019 22:29

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