Abstract

In the wireless sensor and actuator networks (WSANs) of industrial field monitoring, maintaining network connectivity with coverage perception plays a decisive role in many industrial process scenarios. The mobile actuator node is responsible for collecting data from the sensing nodes and performing diverse specific collaborative operation tasks. However, the failure of the nodes usually causes coverage vulnerability and partition of the network. Urgent and time-sensitive applications expect a minimum coverage loss to complete an instant connectivity restoration. This paper presents a hybrid coverage perception-based connectivity restoration algorithm, which is designed to restore network connectivity with minimal coverage area loss. The algorithm uses a backup node, which is selected nearby the critical node, to ensure a timely restoration when the critical node encounters failure. In the process of backup node migration, the optimal destination will be reselected to maintain the best network coverage after network connectivity recovery. The effectiveness of the proposed algorithm was verified by some simulation experiments.

Highlights

  • With the continuous development of sensor technology, computing power, and embedded intelligent systems, the applications of large-scale wireless sensors and actuator networks (WSANs) have attracted more and more attention for industrial processes [1,2,3,4]

  • Adding actuator nodes to wireless sensor networks enhances the practicality of the networks, and expands the application functions of these kinds of industrial networks

  • When the sensing node detects the oil spill, the actuator node immediately executes and controls deployment area cannot have any coverage vulnerabilities because it is an event-sensitive detection the oil spills diffusion. This kind of event sensitive collaboration action relies highly on the network to network, and we do not want oil spills to diffuse to larger and larger extents due to network coverage maintain connectivity based on coverage perception [11]

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Summary

Introduction

With the continuous development of sensor technology, computing power, and embedded intelligent systems, the applications of large-scale wireless sensors and actuator networks (WSANs) have attracted more and more attention for industrial processes [1,2,3,4]. When the sensing node detects the oil spill, the actuator node immediately executes and controls deployment area cannot have any coverage vulnerabilities because it is an event-sensitive detection the oil spills diffusion. This kind of event sensitive collaboration action relies highly on the network to network, and we do not want oil spills to diffuse to larger and larger extents due to network coverage maintain connectivity based on coverage perception [11]. This paper presents a hybridthe perception coverage-based restoration algorithm, the oil spills diffusion This kind of event sensitive collaboration action reliesrate. This paper presents a hybrid perception coverage-based connectivity restoration overreaction when a non-critical node loses efficacy. Proposed algorithm is not suitable for scenarios where multiple nodes are disabled at the same time

The 4th section
Network Model
Node Coverage Aware Model
The mathematical
Algorithm Details
Distinguish the Critical Nodes and the Non-Critical Nodes
The Backup
Relocate the Backup
This calculated
The Situation that Backup
12: While F
Simulation Environment Settings
Analysis of Simulation Result
14. The between totalmoving moving distance and the communication
Findings
Conclusions
Full Text
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