基于Pdf的无线传感器网络高效覆盖节点部署方案

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2023-12-03 DOI:10.1007/s12652-023-04728-0
Richa Mishra, Sangeeta Mishra, Dolly Sharma
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引用次数: 0

摘要

近年来,人们越来越关注使用低功耗设备监测环境。无线传感器网络(WSN)体现了地理空间分布的自配置传感器,理想地满足了需求。这些传感器需要保持所需的覆盖范围,以确保将感知到的信息及时传输到接收器。因此,寿命和有效的覆盖是必须解决的两个最重要的问题。这些传感器的有效定位对网络的寿命至关重要。本文提出了一种基于电晕的平衡能量传感器定位策略,其中传感器按照概率密度函数(PDF)进行分散。PDF用于确定应分散在每个区域的最优节点数量。通过大量的仿真来评估所提出的方案在能量平衡、网络覆盖和延长网络寿命方面的性能。结果表明,在保证无线传感器网络耐用性的同时,采用该策略的传感器传播具有更好的覆盖范围,消除了网络现场的能量空洞问题。
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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Pdf based node deployment scheme targeting efficient coverage in WSNs

In recent times, there has been increasing attentiveness in monitoring environments using low-powered devices. Wireless Sensor Network or WSN embodies geo-spatially disseminated self-configuring sensors that ideally match the requirements. These sensors need to maintain the required coverage to ensure the timely transmission of the perceived information to the sink. Thus, lifetime and efficient coverage are the two foremost concerns that must be tackled. Effective positioning of these sensors plays a vital role as the networklifetime relies on it. This paper proposes a corona-based balanced-energy sensor positioning strategy in which sensors are dispersed in line with a Probability Density Function (PDF). PDF is used to determine the optimal number of nodes that should be dispersed in each area. Extensive simulations are used to evaluate the performance of the proposed scheme in terms of energy-balancing, coverage, and increased lifetime of the network. It is observed that the sensor dissemination using the proposed strategy delivers better coverage and eliminates energy-hole issues in the network field while ensuring the durability of WSN.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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