An Optimal Tag Generation Data Compression Technique for WSN’s
Usha Tiwari, Shabana Mehfuz · 2018
In recent years, Wireless Sensor Networks (WSN's) deployments have rapidly increased for real time applications in various areas. In WSN, power consumption is of utmost importance as they are battery operated with limited capacity, and therefore power consumption is one of the key constraints in the design of wireless sensor networks. Communication unit which consist of a Radio transmitter is the main source of power consumption in the node. A variety of techniques have been proposed to address this issue, data compression is one of them, which reduces the data volume to be transmitted, and hence results in power saving.In this paper, an efficient tag generation based adaptive data compression scheme is introduced which generates the unique identifier or tag for the sequence of wireless input from real world to be encoded. The proposed technique sends a single coded message for group of symbols as compared to other entropy based techniques which generate the code for each input symbol in a particular stream of input from real deployments. By sending the single coded message for a stream of signal it reduces the data to be transmitted and hence result in a reduction in power consumption. Power consumption have also been compared with the available techniques.