Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks


Network lifetime could be a crucial performance metric to guage data-gathering wireless sensor networks (WSNs) where battery-powered sensor nodes periodically sense the surroundings and forward collected samples to a sink node. During this paper, we tend to propose an analytic model to estimate the entire network lifetime from network initialization till it is completely disabled, and confirm the boundary of energy hole in a knowledge-gathering WSN. Specifically, we have a tendency to theoretically estimate the traffic load, energy consumption, and lifelong of sensor nodes throughout the whole network lifetime. Furthermore, we investigate the temporal and spatial evolution of energy hole and apply our analytical results to WSN routing in order to balance the energy consumption and improve the network lifetime. In depth simulation results are provided to demonstrate the validity of the proposed analytic model in estimating the network lifetime and energy hole evolution process.

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