Abstract

Energy efficiency has been a hot research topic for many years and many routing algorithms have been proposed to improve energy efficiency and to prolong lifetime for wireless sensor networks (WSNs). Since nodes close to the sink usually need to consume more energy to forward data of its neighbours to sink, they will exhaust energy more quickly. These nodes are called hot spot nodes and we call this phenomenon hot spot problem. In this paper, an Enhanced Power Efficient Gathering in Sensor Information Systems (EPEGASIS) algorithm is proposed to alleviate the hot spots problem from four aspects. Firstly, optimal communication distance is determined to reduce the energy consumption during transmission. Then threshold value is set to protect the dying nodes and mobile sink technology is used to balance the energy consumption among nodes. Next, the node can adjust its communication range according to its distance to the sink node. Finally, extensive experiments have been performed to show that our proposed EPEGASIS performs better in terms of lifetime, energy consumption, and network latency.

Highlights

  • Topology control is a very important research issue for the emerging mobile networks (EMN)

  • The outstanding performance of Wireless sensor networks (WSNs) like fault tolerance, rapid deployment, selforganizing, timely response, etc. makes WSNs widely used in harsh environment such as military surveillance, industrial product line monitoring, medical health care, and smart homes [2, 3]

  • In [17], the authors propose an energy efficient routing protocol using mobile sink based on clustering and it is suitable for WSNs with obstruction

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Summary

Introduction

Topology control is a very important research issue for the emerging mobile networks (EMN). Wireless sensor networks (WSNs), as part of the EMN, are usually composed of a large collection of tiny sensors nodes and they are developing very rapidly in recently years due to their wide applications [1]. These nodes are usually deployed in a random way and they can collect information from surroundings, and transfer the data package to sink node using single or multiple hops communication to form WSNs. The outstanding performance of WSNs like fault tolerance, rapid deployment, selforganizing, timely response, etc. The mobile sink moves along a certain trajectory so that the nodes close to the sink could take turns to be the forwarder, which will largely alleviate hot spots problem [10].

Related Work
System Model
Our Proposed Algorithm
Performance Evaluation
Conclusions
Findings
Conflicts of Interest
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