Development of a Wireless Sensor Network (WSN) Based Energy Efficient Cattle Monitoring System

A. A. Ijah *

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

O. W. Bolaji

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

O. O. Adedire

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

J. Z. Emmanuel

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

N. E. Onwuegbunam

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

T. A. Awobona

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

J. A. Ogunsanwo

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

M. S. Likita

Forestry Research Institute of Nigeria, Federal College of Forestry Mechanization, P.M.B. 2273, Afaka, Kaduna, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

This study shows how to monitor the movement of cattle using wireless sensor nodes powered by a renewable energy source capable of detecting location. Performance analysis was carried out on the energy consumption pattern of the nodes which indicated that throughout the monitoring period, the average energy consumed by the nodes was thus; master node 6450 joules, node one 1680 joules, node two 1656 joules, node three 1676 joules, node four 1656 joules. The rate of energy consumption was sustained by the renewable energy source. It was equally observed that energy consumption increased depending on how often query was sent and how often the conditions of monitoring was violated. This is to guarantee that information about cattle location gets to the base without delay due to battery failure which has been a major challenge faced with the current existing systems in tackling cattle rustling.

Keywords: Wireless sensor, cattle rustling, energy consumption pattern.


How to Cite

Ijah, A. A., O. W. Bolaji, O. O. Adedire, J. Z. Emmanuel, N. E. Onwuegbunam, T. A. Awobona, J. A. Ogunsanwo, and M. S. Likita. 2020. “Development of a Wireless Sensor Network (WSN) Based Energy Efficient Cattle Monitoring System”. Journal of Engineering Research and Reports 17 (1):1-9. https://doi.org/10.9734/jerr/2020/v17i117177.

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