ON THE PERFORMANCE ANALYSIS OF COVERAGE AND CONNECTIVITY UNDER CHANNEL RANDOMNESS IN WSN

Abstract

The Wireless Sensor Network (WSN) comprises a large number of sensors that are densely deployed in the area of interest to observe a particular phenomenon. There are various applications such as habitat monitoring, military surveillance, weather monitoring etc. where Wireless Sensor Network can be used. In critical environment, where human intervention is not possible, battery of sensor node cannot be replaced in case of power drainage. This adversely affects the requirement of good quality monitoring of the field as well as extended lifetime of Wireless Sensor Network. Therefore, coverage and connectivity which is also a Quality of Service (QOS) is a challenging research area in Wireless sensor Network and extensively focused in this dissertation. We have investigated the coverage and connectivity issue in randomly deployed Wireless Sensor Network with effect of shadowing. One of the important QoS parameter in the design of WSNs is that network should be fault tolerant to make the system more reliable. So, we have proposed a k-coverage and q-connectivity model that is evaluated under log normal shadowing model to represent the path loss characteristics of natural environment. Further, we have studied random shadowing effects which are incorporated into path loss and describe received signal strength with distance in real environments. We have also investigated the effect of node density on coverage as well as connectivity. It is observed that probability of network coverage and connectivity depends on the node density standard deviation. By simulation we have also proved that a higher value of standard deviation results in decrease in coverage probability. Also we have observed the effect of communication range on connectivity which shows that when communication range increases connectivity also improves.