Fault Tolerant Coverage and Connectivity in Presence of Channel Randomness
Some applications of wireless sensor network requireK-coverage andK-connectivity to ensure the system to be fault tolerance and to make it more reliable. Therefore, it makes coverage and connectivity an important issue in wireless sensor networks. In this paper, we proposedK-coverage andK-connectivity models for wireless sensor networks. In both models, nodes are distributed according to Poisson distribution in the sensor field. To make the proposed model more realistic we used log-normal shadowing path loss model to capture the radio irregularities and studied its impact onK-coverage andK-connectivity. The value ofKcan be different for different types of applications. Further, we also analyzed the problem of node failure forK-coverage model. In the simulation section, results clearly show that coverage and connectivity of wireless sensor network depend on the node density, shadowing parameters like the path loss exponent, and standard deviation.