Neural Network Based Prolong Structural Building Monitoring Management System Using Hybrid Wireless Sensor Network

Abstract

The wireless sensor network is well suited for smart building monitoring system as it is cost effective compared with wired network. A hybrid protocol that uses concept of LEACH to increase the life time of sensor network and HRP protocol for effective communication to base station is use in building monitoring system. The sensors such as humidity sensor, strain sensor, temperature sensor, and electrical current monitoring sensor are deployed in huge amount around the building infrastructure and these sensor are organized as different clusters. At initial stage cluster head sensor activates few member sensors for gathering information and rest of sensors are inactive state. This increases the life time of sensor network. If anything happens abnormal then few more sensors are activated to gather more information by cluster head. A neural network is implemented to isolate information from the cluster member nodes and communicate effectively to sink node. In order to reduce the work load of cluster head node, Information Collection Node (ICN) and Energy Monitoring Node (EMN) are added in each cluster to isolate information and monitor energy level of cluster member nodes. Thus hybrid protocol for structural building monitoring system is implemented that increases life time and effectively convey sensory information to sink node in wireless sensor network.