Energy saving model for sensor network using ant colony optimization algorithm

Abstract

In this paper, we propose an energy saving model for sensor network by finding the optimal path for data transmission using ant colony optimization (ACO) algorithm. The proposed model involves (1) developing a relational model based on the correlation among sensors both in spatial and in temporal dimensions using DBSCAN clustering, (2) identifying a set of sensors which represents the network state, and (3) finding the best path for transmission of data using ACO algorithm. Experimental results show that the proposed model reduces the energy consumption by reducing the amount of data acquiring and query processing using the representative sensors and ensures that the transmission is done on the best path which minimizes the probability of retransmission of data.