MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
K. Deepa, Zaheeruddin, Shruti Vashist
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引用次数: 1

Abstract

Abstract Rapid increase in sensor electronics has expanded the call for sensor networks in IoT-based devices. Smart grid is a part of IoT framework, which can be used to screen and manage traffic congestion, electricity influxes, extreme weather, and so on. This is done through a network of transmission lines, smart sensors, and smart meters. It is required to distribute and accumulate information remotely on timely basis from different stages of the grid. The periodic data from the smart meters are transferred to MDMS through WSN’s. In WSN’s, depletion of energy due to unequal load on the sensors is a serious issue, which is to be addressed as it affects the operations of the entire network. To assist these traffic requirements and to boost the network lifetime, asynchronous work sleep cycle approach can be used to create node connections. In this article, an energy-efficient adaptive fuzzy-based multi-disjoint routing protocol in WSN’s for smart grids abbreviated as (MDRP) is proposed, where the next hop node is decided through fuzzy logic. Once the subsequent node is decided, a spanning tree is constructed with the sink node as its root, which calculates the optimal path cost, to transmit the collected data. Furthermore, the simulation results show that the proposed MDRP performs better in terms of network lifetime, packet delivery ratio, total energy consumption, etc.
基于MDRP的智能电网无线传感器网络节能多不连接路由协议
摘要传感器电子产品的快速增长扩大了对物联网设备中传感器网络的需求。智能电网是物联网框架的一部分,可用于筛查和管理交通拥堵、电力流入、极端天气等。这是通过输电线路、智能传感器和智能电表网络实现的。要求从电网的不同阶段及时远程分发和积累信息。智能电表的周期性数据通过WSN传输到MDMS。在无线传感器网络中,由于传感器负载不均衡而导致的能量消耗是一个严重的问题,因为它会影响整个网络的运行,因此需要加以解决。为了满足这些流量需求并延长网络寿命,可以使用异步工作睡眠周期方法来创建节点连接。本文提出了一种用于智能电网的WSN中的节能自适应模糊多不相交路由协议,简称为(MDRP),其中下一跳节点是通过模糊逻辑确定的。一旦确定了后续节点,就以汇聚节点为根构建生成树,计算最佳路径成本,以传输收集的数据。此外,仿真结果表明,所提出的MDRP在网络寿命、数据包传输率、总能耗等方面表现更好。
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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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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