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Wireless sensor networks (WSNs) are getting more widespread use and can be used in a wide range of applications, such as environmental monitoring, smart homes, military surveillance, forests, habitat monitoring, farmlands and precision agriculture. Due to the limited battery power, energy efficiency is the most challenging problem in wireless sensor network. For various applications, it is necessary to deploy sensor node in efficient way to monitor the event precisely, achieve balance energy depletion and extend the network lifetime. In many-to-one traffic pattern, nodes closer to the sink have heavier traffic loads and deplete their energy quickly; this leads to energy holes around the sink. Due to the creation of energy holes, data can no longer be delivered to the sink, although most of sensor nodes have enough residual energy. To overcome the problem of energy hole and achieving sub-balanced energy consumption in corona-based wireless sensor network, engineered Gaussian deployment strategies are proposed. Simulation result shows that the proposed technique maximizes the network lifetime, data delivery, energy consumption and also reducing the chances of energy-hole formation in a network.

Sub-Balanced Energy Consumption through Engineered Gaussian Deployment Strategies in Corona-Based Wireless Sensor Network