Abu Raihan M. Kamal
ABSTRACT
Congestion can occur in Wireless Sensor Networks due to simultaneous event detection at multiple nodes, link failure or node failure. Most previously proposed congestion mitigation algorithms rely on rate control protocols to reduce network traffic. Typically, these solutions reduce application-level precision since the rate control mechanisms reduce the packet generation rate or force local packet drop without considering the implications of data loss. Herein, we propose a distributed, in-network algorithm for congestion mitigation by exploiting the inherent temporal correlation in sensor data. The proposed algorithm was implemented in TinyOS and deployed in a real-world testbed. Experimental results show that the algorithm provides significant reductions in packet drop ratio, from 25.30% to 1.92% and from 25.65% to 15.43% for temperature and light data, respectively, while incurring low distortion in the sensor data. A comparative study and network simulation were performed to assess its performance.
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Index Terms
- Congestion mitigation using in-network sensor datasummarization
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