Title
Providing self-healing ability for wireless sensor node by using reconfigurable hardware.
Abstract
Wireless sensor networks (WSNs) have received tremendous attention over the past ten years. In engineering applications of WSNs, a number of sensor nodes are usually spread across some specific geographical area. Some of these nodes have to work in harsh environments. Dependability of the Wireless Sensor Network (WSN) is very important for its successful applications in the engineering area. In ordinary research, when a node has a failure, it is usually discarded and the network is reorganized to ensure the normal operation of the WSN. Using appropriate WSN re-organization methods, though the sensor networks can be reorganized, this causes additional maintenance costs and sometimes still decreases the function of the networks. In those situations where the sensor networks cannot be reorganized, the performance of the whole WSN will surely be degraded. In order to ensure the reliable and low cost operation of WSNs, a method to develop a wireless sensor node with self-healing ability based on reconfigurable hardware is proposed in this paper. Two self-healing WSN node realization paradigms based on reconfigurable hardware are presented, including a redundancy-based self-healing paradigm and a whole FPAA/FPGA based self-healing paradigm. The nodes designed with the self-healing ability can dynamically change their node configurations to repair the nodes' hardware failures. To demonstrate these two paradigms, a strain sensor node is adopted as an illustration to show the concepts. Two strain WSN sensor nodes with self-healing ability are developed respectively according to the proposed self-healing paradigms. Evaluation experiments on self-healing ability and power consumption are performed. Experimental results show that the developed nodes can self-diagnose the failures and recover to a normal state automatically. The research presented can improve the robustness of WSNs and reduce the maintenance cost of WSNs in engineering applications.
Year
DOI
Venue
2012
10.3390/s121114570
SENSORS
Keywords
Field
DocType
wireless sensor node,self-healing,reconfigurable hardware,dynamical reconfiguration
Sensor node,Key distribution in wireless sensor networks,Dependability,Robustness (computer science),Redundancy (engineering),Engineering,Mobile wireless sensor network,Wireless sensor network,Reconfigurable computing,Distributed computing
Journal
Volume
Issue
ISSN
12
11.0
1424-8220
Citations 
PageRank 
References 
5
0.41
24
Authors
5
Name
Order
Citations
PageRank
Shenfang Yuan17612.49
Lei Qiu24410.23
Shang Gao370.85
Yao Tong450.41
Weiwei Yang550.41