Confidence level analysis of Sensing Spatial Coverage in Wireless Sensor Networks

Achieving required Sensing Spatial Coverage (SSC) is considered a main challenge in Wireless Sensor Networks (WSN). Earlier works used the asymptotic analysis to determine the required number of sensors to meet the necessary sensing coverage in a randomly deployed WSN. Recent works have shown that there is an overestimation in the asymptotic analysis and proposed other analytical solutions to overcome this issue. In this work, a novel concept called the coverage `confidence level´ is introduced. It overcomes a lack of reliability that previous works ignored in their calculations. The analysis provides an important practical tool that relates the required sensing spatial coverage to WSN key parameters: the number of available nodes and their sensing range ability.