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Lightweight Data Compression in Wireless Sensor Networks Using Huffman Coding
2014
International Journal of Distributed Sensor Networks
This paper presents a lightweight data compression method for wireless sensor networks monitoring environmental parameters with low resolution sensors. Instead of attempting to devise novel ad hoc algorithms, we show that, given general knowledge of the parameters that must be monitored, it is possible to efficiently employ conventional Huffman coding to represent the same parameter when measured at different locations and time periods. When the data collected by the sensor nodes consists of
doi:10.1155/2014/672921
fatcat:afm2mh5ejzb7lcufyijk5j62qy