Modified Distributed Source Coding using Syndromes for WSNs

Wireless Sensor Networks (WSN) have become a very interesting area for researchers. WSN is a network of small devices called sensors which sense the physical entity from the surrounding and convey the same to a central entity called the Base Station (BS). Sensor nodes are powered by batteries. As WSNs are generally deployed in hostile environments, recharging or replacement of the batteries is infeasible. Thus the data communication in WSNs has to be energy efficient. Source coding is one such technique used to achieve the better energy efficiency by exploring the correlation of data in the network. As the BS is not energy constrained, it can be over burdened than the sensor nodes. This fact is used to develop a Distributed Source Coding (DSC). Many DSC algorithms were proposed in the literature. Distributed Source Coding Using Syndrome (DISCUS) is one of the most popular algorithms used for DSC. In this paper we have made an attempt in modifying the DISCUS algorithm so as to use it for larger networks.