|
Abstract
|
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
Submitted: April 03, 2012
Accepted: April 26, 2012
Published: 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.
Key words: Data gathering , fault tolerance, Link Quality Indicator (LQI), Signal to Noise Ratio (SNR), , ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
M.Y. Mohamed Yacoab and V. Sundaram, . Fault Management for Efficient Data Gathering in Wireless Sensor Networks. Research Journal of Applied Sciences, Engineering and Technology, (23): 5097-5107.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
