Energy Consumption in Point-Coverage Wireless Sensor Networks via Bat Algorithm

Arun Kumar Sangaiah,Mehdi Sadeghilalimi,Ali Asghar Rahmani Hosseinabadi,Weizhe Zhang

doi:10.1109/access.2019.2952644

Abstract

Sensor nodes spend the most of their limited energy on communicating with environmental information gathered in receivers. Hence, it is important to determine the optimal monitoring sensor nodes and information flow paths to the destination and sink in order to survive the sensor networks. Additionally, the heavy traffic load for transferring packets in nodes closer to the sink increases energy consumption and reduces battery life. It is desirable to reduce the energy between nodes and sink. The main goal is to extend the network lifetime through extending the lifetime of operating sensors as well transferring gathered data from super node to the sink. In this paper, Bat Algorithm (BA) is used to select the optimum monitoring sensor node and resulted path to reduce energy consumption. Simulation results and comparison with other algorithms show the superiority of the proposed algorithm. The simulation results of the proposed algorithm show that the proposed algorithm has been able to reduce the power consumption of the network and increase the lifetime of the network. Also, the proposed algorithm is able to outperform the comparable algorithms on average by 27%.

Highlights

Recent technological advances in microelectromechanical systems and integrated circuits have led to the development of small sensor nodes having high processing power and low power consumption
The energy model used in these simulations is the energy model, which is given in reference [21]–[23]
In order to optimize energy use, a number of higher-power nodes are placed in the environment, which is referred to as supernode

Summary

Introduction

Recent technological advances in microelectromechanical systems and integrated circuits have led to the development of small sensor nodes having high processing power and low power consumption. These sensors are used in various fields such as multimedia, medical, monitoring, military, and domestic fields. A set of these sensors is called Wireless Sensor Networks (WSN) which forms a powerful network capable of sampling local values, processing, and sending them to other sensors, and to the main observer (user). The main challenge in the design of wireless and mobile systems is two-fold: telecommunication bandwidth and Quality of service is a Combinatory criterion with extensive usages and is one of the network designers’ goals, that evaluates many designed [1], [2].

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Conclusion