Abstract

Sensor-deployment-based lifetime optimization is one of the most effective methods used to prolong the lifetime of Wireless Sensor Network (WSN) by reducing the distance-sensitive energy consumption. In this paper, data retransmission, a major consumption factor that is usually neglected in the previous work, is considered. For a homogeneous WSN, monitoring a circular target area with a centered base station, a sensor deployment model based on regular hexagonal grids is analyzed. To maximize the WSN lifetime, optimization models for both uniform and non-uniform deployment schemes are proposed by constraining on coverage, connectivity and success transmission rate. Based on the data transmission analysis in a data gathering cycle, the WSN lifetime in the model can be obtained through quantifying the energy consumption at each sensor location. The results of case studies show that it is meaningful to consider data retransmission in the lifetime optimization. In particular, our investigations indicate that, with the same lifetime requirement, the number of sensors needed in a non-uniform topology is much less than that in a uniform one. Finally, compared with a random scheme, simulation results further verify the advantage of our deployment model.

Highlights

  • Due to the technological developments of microelectromechanical systems, wireless communication and digital electronics, it becomes possible to produce low-cost wireless sensors

  • We propose a new sensor deployment optimization model based on the energy consumption calculated under retransmission

  • The lifetime of the sensor deployment scheme proposed in this work is better than that of a random deployment and gives a much higher success transmission rate

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Summary

Introduction

Due to the technological developments of microelectromechanical systems, wireless communication and digital electronics, it becomes possible to produce low-cost wireless sensors. ] state that the energy consumed by a WSN is mainly used for communication and data processing. The energy consumed by communication is sensitive to the transmission distance. Sensor deployment optimization is one of the most important methods used to reduce the energy consumption [? The data gathered via WSN are essential since the transmission errors may lead to system failures that may cause economic losses, environmental damage or casualties [? ]. Retransmission is widely applied to improve the success rate of data transmission [? ]. It is obvious that data retransmission consumes extra energy. Previous work usually assumes that the data transmission is always successful and neglects the possible retransmission

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