Electrical Substation Environment Monitoring System Using Energy Efficient Algorithm for Wireless Sensor Network

Abstract

From the aspect of system protection and disaster prevention, the environment monitoring system in a substation is an essential section. Continuous monitoring of environmental changes such as increase or decrease in temperature, humidity, or detection of any gas leakage is required to protect the substation from any environmental as well as technical hazards. Wireless Sensor Network (WSN) proves to be a cost efficient solution for such environment monitoring systems with the added benefits of small size and installation flexibility. Due to the capacity limitation of the energy source, the lifetime of WSN is one of the major concerns for researchers. The clustering protocol has been proven to prolong the lifetime of WSN by ensuring balanced energy consumption amongst the nodess. This research work presents an Energy-Efficient Sleep Awake Clustering Algorithm (EESACA) with network design of indoor environment monitoring system at 132kV substation barki road DHA-8 Lahore, Pakistan. The proposed algorithm EESACA considers sleep-awake mode among the nodes based upon their remaining node’s energy. Only those nodes are allowed to participate in the setup phase and steady state phase, whose residual energy is greater than the threshold value. The network lifetime of various communication protocols is comparatively analyzed. Simulation results verify the proposed algorithm’s effectiveness for a more extended network lifetime.