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2012 (Vol. 4, Issue: 23)
Article Information:

Fault Management for Efficient Data Gathering in Wireless Sensor Networks

M.Y. Mohamed Yacoab and V. Sundaram
Corresponding Author:  M.Y. Mohamed Yacoab 

Key words:  Data gathering , fault tolerance, Link Quality Indicator (LQI), Signal to Noise Ratio (SNR), , ,
Vol. 4 , (23): 5097-5107
Submitted Accepted Published
April 03, 2012 April 26, 2012 December 01, 2012
Abstract:

Wireless Sensor Networks (WSNs) are naturally fault-prone owing to the common wireless communication medium, severe developed environments and resources limitation. In data gathering, node and network failures are common in WSNs. It is also essential for the WSN to be able to detect faults early and establish revival actions in order to avoid ruin of service due to faults. In this study we propose a fault management scheme which can efficiently gather data in wireless sensor networks. Our fault management scheme is capable of detecting network faults and node faults along with fault recovery. Initially, we assign some nodes as Reliable nodes (R nodes) in the data aggregation tree, to perform accurate fault discovery and recovery. These R nodes collects the details of residual battery power and signal strength of all intermediate nodes. Node faults are detected by comparing the data values of each node with its neighbor and link failure are detected by estimating the Signal to Noise Ratio (SNR) and Link Quality Indicator (LQI). In case of any link failure in the network, the succeeding R node will send a failure warning message to the previous R node and will then try to forward the packet to the next R node via an alternate path. By simulation results, we show that our proposed technique achieves good packet delivery ratio with reduced energy consumption and delay.
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  Cite this Reference:
M.Y. Mohamed Yacoab and V. Sundaram, 2012. Fault Management for Efficient Data Gathering in Wireless Sensor Networks.  Research Journal of Applied Sciences, Engineering and Technology, 4(23): 5097-5107.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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