Link Aware Routing Protocol for Landslide Monitoring Using Efficient Data Gathering and Handling System

Abstract

The landslide phenomenon’s has become a serious problem in Himalayan regions to killed many people and also thrashed their whole living areas. All these tragedies triggered by environment changes and gathered by sensor nodes. Due to some reasons, sensor nodes are not possible to transfer sensed data to base station. The link failure is a major problem which creates data losses in the wireless sensor networks. In this paper, we propose an efficient lossless landslide monitoring (LLM) system. The proposed system consists of two phase, such as data gathering and handling phase. In data gathering phase, we use modified gray wolf optimization algorithm for clustering technique, which provides link aware routing. In data handling phase, we use an iterative dichotomize-3 (ID-3) based decision making algorithm for landslide prediction. The proposed system tested with the five different environmental sensors, such as rain gauge, incline meter, crack meter, tilt meter, and piezo meter for gathering environmental information’s. The simulation result shows that the delivery ratio of proposed LLM system is 30% higher, drop ratio is 27.5% lower, energy consumption is 11.25% lower, routing overhead is 13% lower and throughput is 19% higher than existing systems.