An enhanced compression-based energy efficient data communication scheme for wireless sensor networks

In this paper, we propose an effective data communication scheme for wireless sensor networks. The data communication approach makes efficient use of data compression to achieve energy efficiency. The main contribution of the proposed approach is, it makes use of the simple but efficient representation of value pairs to attain the compression. It is also novelty of our approach that, proposed scheme employs cluster coordinators for balancing energy consumption by assigning the inter cluster communications to the cluster heads and the intra cluster communications to cluster coordinators. Since, providing flexible service using wireless sensor network is challenging because they usually contain a large number of resource constraint sensing nodes with small memory, lower processing capability and extremely limited battery life, the scheme is considered to be simple, computationally feasible and overall resource requirement is minimum. It is also a mentionable feature of our research that, besides consideration of resource constraints of individual sensor nodes into concern, the proposed compression based compression scheme takes the overall routing scheme into consideration which ensures efficient and minimum energy consumption of WSNs.