Development of an Energy-Efficient Wireless Sensor Network Model for Perimeter Surveillance
This paper investigates an energy-efficient wireless sensor network model adapted for perimeter surveillance. Building on the existing low-energy adaptive clustering hierarchical protocol and amending its random cluster head selection, we design an efficient routing algorithm that seeks to balance the energy among the nodes evenly. In our model, the deployment of sensor nodes around the perimeter of an experimental region and the formation of clusters precede the selection of a cluster head. The node that requires the least transmission energy for a specific transmission round was considered. The cluster head task is assigned so that the least transmission energy is expended, and the shortest distance between the transmitter and the receiver from the cluster heads is followed. Extensive simulations were carried out for the non-hierarchical and the various levels of hierarchy-based clusters to test the validity of the proposed routing algorithm. Results indicate that the proposed routing technique significantly reduces the energy consumption of the sensor nodes guarding the perimeter of the experimental region and tremendously elongates the lifespan of the network.
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