

Author: Zhang Ying Wang Jun Hao Guan
Publisher: MDPI
E-ISSN: 1424-8220|18|1|153-153
ISSN: 1424-8220
Source: Sensors, Vol.18, Iss.1, 2018-01, pp. : 153-153
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
With the development of autonomous unmanned intelligent systems, such as the unmanned boats, unmanned planes and autonomous underwater vehicles, studies on Wireless Sensor-Actor Networks (WSANs) have attracted more attention. Network connectivity algorithms play an important role in data exchange, collaborative detection and information fusion. Due to the harsh application environment, abnormal nodes often appear, and the network connectivity will be prone to be lost. Network self-healing mechanisms have become critical for these systems. In order to decrease the movement overhead of the sensor-actor nodes, an autonomous connectivity restoration algorithm based on finite state machine is proposed. The idea is to identify whether a node is a critical node by using a finite state machine, and update the connected dominating set in a timely way. If an abnormal node is a critical node, the nearest non-critical node will be relocated to replace the abnormal node. In the case of multiple node abnormality, a regional network restoration algorithm is introduced. It is designed to reduce the overhead of node movements while restoration happens. Simulation results indicate the proposed algorithm has better performance on the total moving distance and the number of total relocated nodes compared with some other representative restoration algorithms.
Related content




Adaptive Connectivity Restoration from Node Failure(s) in Wireless Sensor Networks
By Wang Huaiyuan Ding Xu Huang Cheng Wu Xiaobei
Sensors, Vol. 16, Iss. 10, 2016-09 ,pp. :


Fault-Tolerant Algorithms for Connectivity Restoration in Wireless Sensor Networks
Sensors, Vol. 16, Iss. 1, 2015-12 ,pp. :


An MEF-Based Localization Algorithm against Outliers in Wireless Sensor Networks
By Wang Dandan Wan Jiangwen Wang Meimei Zhang Qiang
Sensors, Vol. 16, Iss. 7, 2016-07 ,pp. :