Clustering with discrete power control in wireless sensor networks

Nauman Aslam; William Robertson; William Phillips

doi:10.1109/SENSORCOMM.2009.15

Clustering with discrete power control in wireless sensor networks

Nauman Aslam, William Robertson, William Phillips

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Sensor Technologies and Applications
Editors	Jens M. Hovem
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	43-48
ISBN (Print)	978-0769536699
DOIs	https://doi.org/10.1109/SENSORCOMM.2009.15
Publication status	Published - 2009
Event	2009 Third International Conference on Sensor Technologies and Applications - Athens, Greece Duration: 1 Jan 2009 → …

Conference

Conference	2009 Third International Conference on Sensor Technologies and Applications
Period	1/01/09 → …

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10.1109/SENSORCOMM.2009.15

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title = "Clustering with discrete power control in wireless sensor networks",

abstract = "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.",

author = "Nauman Aslam and William Robertson and William Phillips",

note = "SENSORCOMM '09. Third International Conference on Sensor Technologies and Applications, 2009, held from 18-23 June 2009, in Athens, Glyfada.; 2009 Third International Conference on Sensor Technologies and Applications ; Conference date: 01-01-2009",

year = "2009",

doi = "10.1109/SENSORCOMM.2009.15",

language = "English",

isbn = "978-0769536699",

pages = "43--48",

editor = "Hovem, {Jens M.}",

booktitle = "Proceedings of the 3rd International Conference on Sensor Technologies and Applications",

publisher = "IEEE",

address = "United States",

}

Aslam, N, Robertson, W & Phillips, W 2009, Clustering with discrete power control in wireless sensor networks. in JM Hovem (ed.), Proceedings of the 3rd International Conference on Sensor Technologies and Applications. IEEE, Piscataway, NJ, pp. 43-48, 2009 Third International Conference on Sensor Technologies and Applications, 1/01/09. https://doi.org/10.1109/SENSORCOMM.2009.15

TY - CHAP

T1 - Clustering with discrete power control in wireless sensor networks

AU - Aslam, Nauman

AU - Robertson, William

AU - Phillips, William

N1 - SENSORCOMM '09. Third International Conference on Sensor Technologies and Applications, 2009, held from 18-23 June 2009, in Athens, Glyfada.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

U2 - 10.1109/SENSORCOMM.2009.15

DO - 10.1109/SENSORCOMM.2009.15

M3 - Chapter

SN - 978-0769536699

SP - 43

EP - 48

BT - Proceedings of the 3rd International Conference on Sensor Technologies and Applications

A2 - Hovem, Jens M.

PB - IEEE

CY - Piscataway, NJ

T2 - 2009 Third International Conference on Sensor Technologies and Applications

Y2 - 1 January 2009

ER -

Clustering with discrete power control in wireless sensor networks

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