.png){kind=icon}
返回
Memetic Algorithm-Based Data Gathering Scheme for IoT-Enabled Wireless Sensor Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/JSEN.2020.2998828.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Wireless Sensor Networks (WSNs) is the key element of the Internet of Things (IoT) for sensing the environment, collecting data and sending it to the base station (BS). In the IoT environment, routing protocols that are designed for WSNs are not working properly due to heterogeneity in the nodes. Therefore, an intelligent based routing protocol is needed to enhance the performance of the IoT-enabled WSNs. This paper presents a memetic algorithm based routing mechanism that can significantly enhance the performance of the network. In addition, we also proposed a mobile sink based data gathering mechanism that prevents network partitioning problem. We perform an extensive experiment on the proposed algorithm using the ns2.35 simulator. The experimental results are compared with the state-of-the-art algorithms to demonstrate the efficiency of the proposed scheme in terms of throughput, network lifetime, stability period, end to end delay and the number of alive nodes in the network.
Keyword:
Sensors
Wireless sensor networks
Protocols
Genetic algorithms
Memetics
Internet of Things
Routing
Internet of Things (IoT)
memetic algorithm
mobile sinks
network partition
wireless sensor networks
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
2.2W
被引数:
7.3W
机构
引用论文
分享收藏
An annulus sector grid aided energy-efficient multi-hop routing protocol for wireless sensor networks一种环形扇区网格辅助节能的无线传感器网络多跳路由协议.png)
COMPUTER NETWORKS
COMPUTER NETWORKSIF4.6
PREAI
分享收藏An energy-efficient multi-hop routing protocol based on grid clustering for wireless sensor networks
PREAI
分享收藏EAPC: Energy-Aware Path Construction for Data Collection Using Mobile Sink in Wireless Sensor NetworksIEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏分享收藏Electrochemical synthesis of phosphorus-doped graphene quantum dots for free radical scavenging电化学合成磷掺杂石墨烯量子点及其自由基清除性能
PREAI
分享收藏
查看更多内容