This paper is published in Volume-3, Issue-4, 2017
Area
WSN
Author
Rachna Kumari
Co-authors
Sunil Dalal
Org/Univ
Matu Ram Institute of Engineering & Management, Rohtak, Haryana, India
Pub. Date
29 July, 2017
Paper ID
V3I4-1237
Publisher
Keywords
Availability, Base Station (BS), Cluster Head (CH), Data Aggregation, Data Clustering Wireless Sensor Network (WSN).

Citationsacebook

IEEE
Rachna Kumari, Sunil Dalal. Design and Simulation Result Analysis of Data Aggregation in Ns2 for WSN with Security, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rachna Kumari, Sunil Dalal (2017). Design and Simulation Result Analysis of Data Aggregation in Ns2 for WSN with Security. International Journal of Advance Research, Ideas and Innovations in Technology, 3(4) www.IJARIIT.com.

MLA
Rachna Kumari, Sunil Dalal. "Design and Simulation Result Analysis of Data Aggregation in Ns2 for WSN with Security." International Journal of Advance Research, Ideas and Innovations in Technology 3.4 (2017). www.IJARIIT.com.

Abstract

Energy efficiency is an important metric in resource constrained wireless sensor networks (WSN). Multiple approaches such as duty cycling, energy optimal scheduling, energy aware routing and data aggregation can be availed to reduce energy consumption throughout the network. This thesis addresses the data aggregation during routing since the energy expended in transmitting a single data bit is several orders of magnitude higher than it is required for a single 32 bit computation. Therefore, in the first paper, a novel nonlinear adaptive pulse coded modulation-based compression (NADPCMC) scheme is proposed for data aggregation. A rigorous analytical development of the proposed scheme is presented by using Lyapunov theory. Satisfactory performance of the proposed scheme is demonstrated when compared to the available compression schemes in NS-2 environment through several data sets. Data aggregation is achieved by iteratively applying the proposed compression scheme at the cluster heads. The second paper on the other hand deals with the hardware verification of the proposed data aggregation scheme in the presence of a Multi-interface Multi-Channel Routing Protocol (MMCR). Since sensor nodes are equipped with radios that can operate on multiple non-interfering channels, bandwidth availability on each channel is used to determine the appropriate channel for data transmission, thus increasing the throughput. MMCR uses a metric defined by throughput, end-to-end delay and energy utilization to select Multi-Point Relay (MPR) nodes to forward data packets in each channel while minimizing packet losses due to interference. Further, the proposed compression and aggregation are performed to further improve the energy savings and network lifetime. Besides this we also applied RSA security algorithm for encryption and decryption.
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