An Efficient Data Redundancy Reduction for Sensed Data Aggregators in Sensor Networks

Abstract

The important issue that is to be discussed in many applications involving Wireless Sensor Network (WSN) is the power efficiency and data aggregation. In this paper, an Efficient Data Redundancy Reduction (EDRR) scheme along with conjugative sleep scheduling algorithm has been proposed. In the existing Localized Power Efficient Data Aggregation Protocol (L-PEDAP), Minimum Spanning Tree based routing scheme was used. In our proposed scheme, CDS based broadcasting is used. This proposed work integrates conjugative sleep scheduler scheme with data redundancy reduction scheme. This power efficient redundancy reduction scheme basically utilizes Differential Pulse Code Modulation (DPCM) technique. Rake receiver model data aggregation is adopted for aggregating the data from various sensor nodes. The network is run for graphs with 100 to 1000 nodes using NS-2 simulator. Since, transmission power is proportional to the square of the distance, multi-hop routing is better than direct communication. The performance of this algorithm is evaluated based on power consumption, life time and detection rate.