Energy Efficient Approach for In-Network Aggregation in Wireless Sensor Networks
Pages : 2874-2879
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Abstract
The term Wireless Sensor Network (WSN) is nothing but collection of small sensor devices without any physical infrastructure used for communication. The communication in this network is done by radio frequencies and wireless routing. In WSN, data aggregation is main task which is used to collect information from sensor nodes on behalf of sink node. In-network aggregation is nothing but global process of gathering and routing information through a multihop network, processing data at intermediate nodes with the objective of reducing resource consumption (in particular energy), thereby increasing network lifetime. For efficient data aggregation there are many methods presented by researchers with goal of improving energy efficiency. DRINA was the recent and most efficient technique for In-network aggregation for wireless sensor networks in terms of scalability, delivery efficiency, aggregation rate, and aggregated data delivery rate. DRINA has delivered the best performances against the existing methods like SPT. In this paper we are instigating the performances of DRINA approach by extending for routing efficiency. We will presented the evaluation of this proposed DRINA against the SPT in terms of average throughput, end to end delay, packet delivery ratio and average energy consumption for scalable and varying network scenarios. For routing efficiency we proposed new algorithm as addition in DRINA. Hence this new protocol is named as Improved DRINA (IDRINA). Our simulations studied with carry using NS2.
Keywords: The DRINA, Data Aggregation, Sensor Nodes, WSN, SPT, Energy Consumption, Throughput
Article published in International Journal of Current Engineering and Technology, Vol.5, No.4 (Aug-2015)