We measure reliability in sensor networks which are dependent on limited resources of individual sensor nodes such has battery capacity, transmission range and channel interference due to simultaneous wireless transmissions. From the initial simulation it is estimated that the routing errors using a distributed algorithm for a large network is less susceptible to failures when compared to using a table driven routing algorithm. To further address other influencing factors which are not related to resource allocation or routing of the sensor network we study the correlated issues, which makes sensor network unique to the categories of wireless network applications. The simulation results show that due to 1-bit-mask accuracy and the CDF codes used to represent measured values in the decoder buffer is fault-tolerant and also increases the communication rate by 70% due to information redundancy within a sensor cluster. Keywords—Sensor Data Reliability, Slepian & Wolf Coding, Cosets, Huffman Trees, BER, Baysian Error.
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