A2CDC: Area Coverage, Connectivity and Data Collection in Wireless Sensor Networks

A. Bomgni, G. B. J. Mdemaya
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引用次数: 7

Abstract

Wireless sensor networks are increasingly being deployed in areas where several types of information need to be harvested. Monitoring a given area is one of the main goals of this technology. This consists in deploying sensor nodes in the Area of Interest (AoI) in order to detect any event occurring in this area, collect information and send them to the base station. However, in this type of configuration, the quantity and the quality of data collected are important factors in making better decisions by the end user. It therefore becomes crucial to deploy sensors in the AoI so that the latters can cover as much as possible the AoI, and propose mechanism to collect and send data to the base station while minimizing the energy consumption of the sensors. In this paper, we bring into focus a solution (A2CDC) to resolve this problem which performs in two main stages: in the first stage, we propose an algorithm that guarantees a maximal coverage of the AoI after a random deployment of static sensors and mobile sensors; and in the second stage, we propose a node activity scheduling that minimizes energy consumption of both static and mobile nodes while sending collected data to the base station. Compared to many other algorithms in the literature, our solution is better in term of coverage percentage of the AoI, data received by the base station and in term of energy minimization.
无线传感器网络的区域覆盖、连接和数据收集
无线传感器网络越来越多地部署在需要收集多种信息的领域。监测给定区域是该技术的主要目标之一。这包括在感兴趣区域(AoI)部署传感器节点,以检测该区域发生的任何事件,收集信息并将其发送到基站。然而,在这种类型的配置中,收集的数据的数量和质量是最终用户做出更好决策的重要因素。因此,在AoI中部署传感器,使后者能够覆盖尽可能多的AoI,并提出收集和发送数据到基站的机制,同时最小化传感器的能量消耗变得至关重要。在本文中,我们提出了一种解决方案(A2CDC)来解决这个问题,该解决方案分为两个主要阶段:在第一阶段,我们提出了一种算法,该算法保证在随机部署静态传感器和移动传感器后AoI的最大覆盖;在第二阶段,我们提出了一种节点活动调度,在将收集到的数据发送到基站时,将静态和移动节点的能耗降到最低。与文献中的许多其他算法相比,我们的解决方案在AoI的覆盖率、基站接收的数据和能量最小化方面都更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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