arrow
返回

Energy-Saving Routing Protocols for Smart Cities

delete2022-10-08
delete10
delete
OA
AI
D
Douglas de Farias Medeiros
C
Cleonilson Protásio de Souza
F
Fabrício Braga Soares de Carvalho *
W
Waslon T. A. Lopes
DOI:10.3390/en15197382delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
In recent decades, expansion in urban areas has faced issues such as management of public waste, noise, mobility, and air quality, among others. In this scenario, Internet of Things (IoT) and Wireless Sensor Network (WSN) scenarios are being considered for Smart Cities solutions based on the deployment of wireless remote sensor nodes to monitor large urban areas. However, as the number of nodes increases, the amount of data to be routed increases significantly as well, meaning that the choice of the data routing process has great importance in terms of the energy consumption and lifetime of the network. In this work, we describe and evaluate the energy consumption of routing protocols for WSN-based Smart Cities applications in LoRa-based mesh networks, then propose a novel energy-saving radio power adjustment (RPA) routing protocol. The Cupcarbon network simulator was used to evaluate the performance of different routing protocols in terms of their data package delivery rate, average end-to-end delay, average jitter, throughput, and load consumption of battery charge. Additionally, a novel tool for determining the range of nodes based on the Egli propagation model was designed and integrated into Cupcarbon. The routing protocols used in this work are Ad Hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Distance Vector Routing (DVR). Our simulation results show that AODV presents the best overall performance, DSR achieves the best results for power consumption, and DVR is the best protocol in terms of latency. Finally, the proposed RPA routing protocol presents power savings of 11.32% compared to the original DSR protocol.
Keyword:
Smart Cities
Wireless Sensor Networks
routing protocols
Cupcarbon simulator
LoRa

期刊

Energies 封面图
Energies
IF:
3.2
论文数:
1.6W
被引数:
14.2W

机构

暂无机构信息
引用论文

引用论文

Serum Lipids Are Related to Alzheimer’s Pathology in Nursing Home Residents
err2009-01-08
err0
errOAAI
errGerson T. Lesser; Vahram Haroutunian; Dushyant P. Purohit; Michal Schnaider Beeri; James Schmeidler; Linda Honkanen; Richard Neufeld; Leslie S. Libow
err分享
err收藏
An Energy Efficient Routing Approach for IoT Enabled Underwater WSNs in Smart Cities智能城市中支持物联网的水下wsn的节能路由方法
errSENSORS
IF3.5
err2020-07-24
err15
errOAAI
errUsman, Nighat; Alfandi, Omar; Usman, Saeeda; Khattak, Asad Masood; Awais, Muhammad; Hayat, Bashir; Sajid, Ahthasham
err分享
err收藏
Low Power Wide Area Networks: An Overview
err2017-01-01
err1.2K
errOAAI
errRaza, Usman; Kulkarni, Parag; Sooriyabandara, Mahesh
err分享
err收藏
Neural organization of material-specific memory functions in temporal lobe epilepsy patients as assessed by the intracarotid amobarbital test.
err1995-10-01
err0
PREAI
errGuila Glosser; Andrew J. Saykin; Gayle K. Deutsch; Michael J. O'Connor; Michael R. Sperling
err分享
err收藏
学者 查看更多内容