Agent based Intelligent Routing Algorithm for Energy Efficient Routing in Wireless Sensor Network

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In wireless sensor network, massive sensor nodes are deployed to sense the environment for various applications, so that there is a reduction in energy when performing routing which leads to decrease in network lifetime. However, if routing is performed through all the nodes, energy will be wasted. To avoid the wastage of resources such as energy or battery lifetime of nodes, various energy efficient routing algorithms were formulated to find the suboptimal path to reach the destination nodes with shortest time. Hence, finding an optimal routing with low energy is an important challenge in wireless sensor networks. Therefore, we propose a new routing algorithm in this paper by integrating agent based intelligent decision making with energy efficient routing algorithm which provides freedom to choose the optimized path over the network traffic with limited energy consumption. In all available routes, intelligent agents are deployed in nodes which help to predict the best path by making a suitable decision on whether to take congestion free path or shortest path. Moreover, every node is considered as an independent node to choose flexible route in a distributed environment with the help of moving average (MA) model. The Moving Average model is used in this paper, since it is a parametric time series model which can predict the network traffic based on historical traffic data and current traffic data. The main advantage of the proposed algorithm is the reduction in energy consumption, time taken to reach destination and packet drop ratio.