Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks

With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different types of hardware vendors to coexist. Most of these solutions however have aimed at industry-specific interoperability but not the size of the sensor network and the large amount of data which is collected in course of its lifetime. In this paper we use well studied data compression algorithms which optimize on bringing down the data redundancy which is related to correlated sensor readings and using a probability model to efficiently compress data at the cluster heads. As in the case of sensor networks the data reliability goes down as the network resource depletes and these types of networks lacks any central synchronization making it even more a global problem to compare different reading at the central coordinator. The complexity of calibrating each sensor and using an adaptable measured threshold to corre...

• Type: Conference
• Year: 2008
• Where: SUTC
• Authors: Vasanth Iyer, Rammurthy Garimella, M. B. Srinivas
• Keywords: Cluster Heads, Sensor, Sensor Network, Sensor Networks, SUTC 2008