ADVANCEMENTS IN MULTI-NETWORK CATTLE MONITORING SYSTEMS UTILIZING WIRELESS SENSOR NETWORKS (WSNS)

0
48

Abstract:

This research presents an innovative approach to track the movement of cattle using wireless sensor nodes powered by renewable energy sources. These nodes are designed to detect cattle locations and leverage various mobile networks to ensure real-time transmission of location data to the central base. A comprehensive analysis of the nodes’ energy consumption patterns was conducted, revealing consistent energy usage over the monitoring period. The average energy consumed by the master node was 6450 joules, while node one consumed 1680 joules, node two consumed 1656 joules, node three consumed 1676 joules, and node four consumed 1656 joules. The renewable energy source effectively sustained the energy consumption rate, with variations observed based on query frequency and monitoring conditions. Additionally, network signal strength monitoring was performed, showing signal strengths of -59 dB for MTN, -83 dB for Airtel, -87 dB for 9mobile, and -93 dB for Glo at latitude 960 12″04′ and longitude 650 66″21′. At latitude 960 21″75′ and longitude 650 56″63′, signal strengths were -87 dB for MTN, -51 dB for Airtel, -73 dB for 9mobile, and -77 dB for Glo. Similarly, at latitude 960 32″51′ and longitude 650 57″32′, signal strengths reached -68 dB for MTN, -53 dB for Airtel, -57 dB for 9mobile, and -49 dB for Glo. Moreover, at latitude 960 14″09′ and longitude 650 72″63′, signal strengths were recorded as -87 dB for MTN, -78 dB for Airtel, -51 dB for 9mobile, and -94 dB for Glo. The average signal strengths were found to be -75.25 dB for MTN, -62.25 dB for Airtel, -67 dB for 9mobile, and -72.25 dB for Glo. These findings ensure the reliable and timely delivery of cattle location information to the central base, addressing the network failure challenges encountered by existing cattle monitoring systems aimed at countering cattle rustling.

ADVANCEMENTS IN MULTI-NETWORK CATTLE MONITORING SYSTEMS UTILIZING WIRELESS SENSOR NETWORKS (WSNS).  GET MORE, ACTUARIAL SCIENCE PROJECT TOPICS AND MATERIALS

 

DOWNLOAD PROJECT