Optimized routing with efficient energy transmission using Seline Trustworthy optimization for waste management in the smart cities

Q2 Engineering Energy Harvesting and Systems Pub Date : 2021-12-09 DOI:10.1515/ehs-2021-0028
R. Roshan, O. Rishi
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引用次数: 2

Abstract

Abstract Rapid development in technology provides an emerging growth based on innovation, invention, and diffusion, where the diffusion of resources stands with the proper disposal of wastes, due to the over-utilization of resources, growing population growth, and migration increases the accumulation of wastes especially, in Indian cities. Therefore, managing the wastes effectively is a raising challenge in the metropolitan cities of India, where the continuous monitoring of the wastes and disposal needs to be initiated. In this research, an internet-of-things-based smart waste management system in smart cities (IoT-SWMS) is focused on proposing an optimal path selection protocol that facilitates the continuous monitoring and disposal of wastes. The proposed optimal path selection protocol named Seline trustworthy optimization developed to determine the optimal routing path in IoT network renders the faster communication of the collected data regarding the level of the dustbins, which is disposed properly at the right time. The analysis of the proposed Seline trustworthy optimization-based IoT network for SWMS is performed based on the performance measures, such as delay, throughput, energy, and Packet Delivery Ratio (PDR) in comparison with the traditional methods. The proposed methodology yields the maximal PDR of 99%, a minimum delay of 0.11 s, and a maximal throughput of 38,400 kbps.
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智能城市废物管理的可靠优化,使用Seline优化路线,实现高效的能源传输
技术的快速发展提供了一种基于创新、发明和扩散的新兴增长,其中资源的扩散与废物的适当处理相一致,由于资源的过度利用、人口的增长和移民增加了废物的积累,特别是在印度的城市。因此,在印度的大城市中,有效地管理废物是一项日益严峻的挑战,需要开始对废物和处置进行持续监测。在本研究中,基于物联网的智慧城市智能废物管理系统(IoT-SWMS)的重点是提出一种最优路径选择协议,以促进废物的连续监测和处理。为了确定物联网网络中的最优路由路径,提出了一种名为Seline可信优化的最优路径选择协议,使收集到的数据在垃圾桶的高度上能够更快地通信,并在正确的时间进行适当的处理。与传统方法相比,基于延迟、吞吐量、能量和分组传输比(PDR)等性能指标,对所提出的基于线可信优化的SWMS物联网网络进行了分析。该方法的最大PDR为99%,最小延迟为0.11 s,最大吞吐量为38,400 kbps。
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来源期刊
Energy Harvesting and Systems
Energy Harvesting and Systems Energy-Energy Engineering and Power Technology
CiteScore
2.00
自引率
0.00%
发文量
31
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