Self-Configuration Management towards Fix-Distributed Byzantine Sensors for Clustering Schemes in Wireless Sensor Networks

Author:

Elsayed Walaa M.1,El-Shafeiy Engy2,Elhoseny Mohamed34ORCID,Hassan Mohammed K.5

Affiliation:

1. Information Technology Department, Faculty of Computing and Informatics, Damanhour University, Damanhour 22511, Egypt

2. Computer Science Department, Faculty of Computers & Artificial Intelligence, University of Sadat City, Sadat 32897, Egypt

3. College of Computing and Informatics, University of Sharjah, Sharjah 4679, United Arab Emirates

4. Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt

5. Mechatronics Department, Faculty of Engineering, Horus University–Egypt (HUE), New Damietta 34517, Egypt

Abstract

To avoid overloading a network, it is critical to continuously monitor the natural environment and disseminate data streams in synchronization. Based on self-maintaining technology, this study presents a technique called self-configuration management (SCM). The purpose is to ensure consistency in the performance, functionality, and physical attributes of a wireless sensor network (WSN) over its lifetime. During device communication, the SCM approach delivers an operational software package for the radio board of system problematic nodes. We offered two techniques to help cluster heads manage autonomous configuration. First, we created a separate capability to determine which defective devices require the operating system (OS) replica. The software package was then delivered from the head node to the network’s malfunctioning device via communication roles. Second, we built an autonomous capability to automatically install software packages and arrange the time. The simulations revealed that the suggested technique was quick in transfers and used less energy. It also provided better coverage of system fault peaks than competitors. We used the proposed SCM approach to distribute homogenous sensor networks, and it increased system fault tolerance to 93.2%.

Publisher

MDPI AG

Subject

Control and Optimization,Computer Networks and Communications,Instrumentation

Reference17 articles.

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