CFP last date
22 April 2024
Reseach Article

A Novel Approach for Reducing Energy Consumption and Increasing Throughput in Wireless Sensor Network using Network Simulator 2

Published on August 2015 by Jagdish Bassi, Taranjit Aulakh
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 4
August 2015
Authors: Jagdish Bassi, Taranjit Aulakh
6a3491d0-57d9-4765-9f50-81a7f01543a8

Jagdish Bassi, Taranjit Aulakh . A Novel Approach for Reducing Energy Consumption and Increasing Throughput in Wireless Sensor Network using Network Simulator 2. International Conference on Advancements in Engineering and Technology. ICAET2015, 4 (August 2015), 7-10.

@article{
author = { Jagdish Bassi, Taranjit Aulakh },
title = { A Novel Approach for Reducing Energy Consumption and Increasing Throughput in Wireless Sensor Network using Network Simulator 2 },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 4 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 7-10 },
numpages = 4,
url = { /proceedings/icaet2015/number4/22228-4051/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Jagdish Bassi
%A Taranjit Aulakh
%T A Novel Approach for Reducing Energy Consumption and Increasing Throughput in Wireless Sensor Network using Network Simulator 2
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 4
%P 7-10
%D 2015
%I International Journal of Computer Applications
Abstract

A wireless sensor network contains collection of sensor nodes which are situated at desired locations to control various real time applications like moisture, climate, stress etc. So, Wireless sensor networks (WSNs) involve greater efficiency to control the environment related applications which are greatly used for military purposes and other life related applications in the field of medical. The wireless sensor nodes mainly make use of the battery systems and thus the wireless network's life is the main issue of the battery's power system. Hence, to assist better results for consumption of battery and security mechanism for the wireless sensor network to be energy efficient, anycast forwarding scheme is proposed and used in this paper. In the wireless network each node has multiple next-hop relaying nodes in a candidate set (forwarding set), results in reducing the delay and reducing the consumption of battery power. An active node forwards the packet to the first wakeup node in the forwarding set.

References
  1. M. Zorzi and R. R. Rao, "Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Energy and Latency Performance," IEEE transactions on Mobile Computing, vol. 2, pp. 349–365, October 2003.
  2. Joohwan Kim, Xiaojun Lin, Ness B,Shroff, Prasun Sinha, " Minimizing Delay and Maximizing Lifetime for Wireless Sensor Networks With Anycast" ,Proceedings of IEEE INFOCOM-2010.
  3. J. Elson, L. Girod, and D. Estrin, "Fine-grained network time synchronization using reference broadcasts", SIGOPS Oper. Syst. Rev. , vol. 36, pp. 147–163, 2002.
  4. Yanjun Sun,Shu Du, Omer Gurewitz, David B. Johnson, "DW-MAC: A Low Latency, Energy Efficient Demand-Wakeup MAC Protocols for Wireless Sensor Networks", MobiHoc-2008.
  5. Hwee-Xian Tan and Mun Choon Chan, "A2-MAC: An Adaptive,Anycast MAC Protocol for Wireless Sensor Networks", Wireless Communications and Networking Conference (WCNC), 2010 IEEE.
  6. Sha Liu, Kai-Wei Fan and Prasun Sinha, "CMAC: An Energy Efficient MAC Layer Protocol Using convergent Packet Forwarding for Wireless Sensor Networks" The Ohio State University, 2007.
  7. G. Anastasi, A. Falchi, A. Passarella, M. Conti, and E. Gregori, "Performance Measurements of Motes Sensor Networks", in Proceedings of the 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 174–181, October 2004.
  8. Y. -C. Tseng, C. -S. Hsu, and T. -Y. Hsieh, "Power-Saving Protocols for IEEE 802. 11-Based Multi-Hop Ad Hoc Networks," Computer Networks,vol. 43, pp. 317–337, Oct. 2003.
  9. W. Ye, H. Heidemann, and D. Estrin, "Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks," IEEE/ACM Transactions on Networking, vol. 12, pp. 493–506, June 2004.
  10. T. van Dam and K. Langendoen, "An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks," in Proc. SenSys, pp. 171–180, November 2003.
  11. G. Lu, B. Krishnamachari, and C. S. Raghavendra, "An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Wireless Sensor Networks," in Proc. IPDPS, pp. 224–231, April 2004.
  12. E. Shih, S. -H. Cho, N. Ickes, R. Min, A. Sinha, A. Wang, and A. Chandrakasan , "Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks," in Proc. MobiCom , 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Sensor Energy Delay Node Mac Dsr Throughput