4.4 Article

Connectivity Restoration by Clustering for Mobile Sensor Networks

期刊

WIRELESS PERSONAL COMMUNICATIONS
卷 124, 期 4, 页码 3445-3459

出版社

SPRINGER
DOI: 10.1007/s11277-022-09520-5

关键词

Wireless sensor networks; Transmission range; Connectivity restoration; Node failure; Cluster; Communication range

资金

  1. Deanship of Scientific Research at King Khalid University [R.G.P-40-338]

向作者/读者索取更多资源

This paper proposes a Connectivity Restoration by Clustering (CRC) mechanism, which uses clustering to efficiently restore connectivity and address node failure in the Internet of Things, improving the energy efficiency of the network.
The Internet of Things relies on wireless sensor networks (WSNs) for sensing the harsh environment, obtaining important data, and transmitting it to a base station for analysis. To overcome the challenges associated with WSNs, the research community worldwide is actively involved. One of the issues being studied and well-thought-out is how to resolve the problem of node failure and how to make the network more energy-efficient. Based on the concept of clustering, the paper proposes a Connectivity Restoration by Clustering (CRC) mechanism for connectivity restoration. Cluster Heads play a significant role in the restoration of connectivity in the proposed technique. It uses a distributed cluster-based approach to identify failed nodes. Moreover, a simple recovery mechanism is utilized during inter-cluster communication for minimizing packet loss. Compared with existing methods for connectivity restoration, CRC efficiently restores connectivity and addresses node failure by moving fewer nodes. Extensive simulations in OMNeT + + based simulator prove that clustering is a highly effective mechanism that can be incorporated into a connectivity restoration technique. CRC outperforms all the considered baseline techniques in terms of multiple performance metrics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据