ENHANCED THRESHOLD SENSITIVE PROTOCOL IN WIRELESS SENSOR NETWORKS

Abstract

Wireless Sensor Networks are derived of hundreds to thousands of limited energy battery powered sensor nodes. The use and applicability of WSNs has increased in vivid areas like vehicular movement, weather monitoring, security and surveillance, industry applications etc. The limited powered nodes in WSNs sense the environment and send the desired information to a processing centre (base station) either directly or via a mechanism for optimization. In this dissertation we developed CHATSEP, a clustering protocol for reactive networks with threshold sensitive heterogeneous sensor nodes. It includes an adaptive characteristic which helps the base station to be aware of the status of the nodes in situations when the nodes are idle from a long time and hence helping the base station to analyze the information network dynamically and efficiently. It also incorporates Critical Threshold which is any information of utmost importance in the network, and when such information is sensed it has to be sent to base station with highest priority. Our proposed protocol with adaptive nature and criticality of information is observed to perform better than the conventional clustering protocols like LEACH, SEP and TSEP in terms of stability period, network lifetime and throughput for a temperature sensing application. We also developed Greedy Efficient Hop technique which is an energy efficient technique to increase the lifetime and stability period of the network. This technique balances the energy in the local clusters by introducing a phenomenon of distribution of the tasks of CH to the right candidate in its very own cluster. The GEH technique is simulated and it is observed to have increased the efficiency and performance of the conventional heterogeneous routing protocols.