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Hung-Ta Pai, Jing-Tian Sung and Yunghsiang S. Han
Graduate Institute of Communication Engineering
National Taipei University
Sanhsia, 237 Taiwan
E-mail: {htpai; yshan}@mail.ntpu.edu.tw
Department of Electrical Engineering
National Taiwan University of Science and Technology
Taipei, 106 Taiwan
E-mail: d9107305@mail.ntust.edu.tw
A fault-tolerant classification system in wireless sensor networks combining distributed
detection with error-correcting codes has recently been proposed. Associated
with a decision pattern, each sensor makes a local decision based on its detection result
and a set of decision thresholds. The detection result must then be transmitted to a fusion
center to make a final decision. The probability of misclassification when adopting this
approach is high when the transmission channel is highly noisy. This work first describes
an adaptive retransmission algorithm to reduce the misclassification probability. The fusion
center calculates the reliability of each local decision received while making the final
decision. If the final decision is not reliable, then the fusion center asks the sensor
that has sent the received local decision with the lowest reliability to retransmit its decision.
However, when some sensors have unrecognized faults, the fusion center tends to
query the sensor with the same decision pattern as the faulty sensor to retransmit its decision.
This tendency causes unbalanced network load. This work further presents a
novel adaptive retransmission algorithm with balanced load to combat this problem.
Each sensor carries all sets of decision thresholds. A sensor is randomly selected when
the decision based on a set of thresholds must be retransmitted. The selected sensor then
makes its new decision according to the threshold set and its detection result. The random
selection means the load is balanced. Simulation results show that the misclassification
probability can be effectively decreased through the retransmission with a balanced
load.
Received September 15, 2006; accepted February 6, 2007.
Communicated by Ten H. Lai, Chung-Ta King and Jehn-Ruey Jiang.
*This work was supported by the National Science Council of Taiwan, R.O.C., under grants No. NSC
94-2213-E-305-002 and NSC 94-2213-E-305-001.