CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

Cluster based Anycast Routing Protocol for Wireless Sensor Networks

Published on September 2014 by Subhrendu Guha Neogi, Anand A. Bhaskar, Eeshan Pandey
Recent Advances in Wireless Communication and Artificial Intelligence
Foundation of Computer Science USA
RAWCAI - Number 1
September 2014
Authors: Subhrendu Guha Neogi, Anand A. Bhaskar, Eeshan Pandey
cab03977-3070-444e-82e2-a5fe2dede704

Subhrendu Guha Neogi, Anand A. Bhaskar, Eeshan Pandey . Cluster based Anycast Routing Protocol for Wireless Sensor Networks. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 1 (September 2014), 39-44.

@article{
author = { Subhrendu Guha Neogi, Anand A. Bhaskar, Eeshan Pandey },
title = { Cluster based Anycast Routing Protocol for Wireless Sensor Networks },
journal = { Recent Advances in Wireless Communication and Artificial Intelligence },
issue_date = { September 2014 },
volume = { RAWCAI },
number = { 1 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 39-44 },
numpages = 6,
url = { /proceedings/rawcai/number1/17917-1413/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Advances in Wireless Communication and Artificial Intelligence
%A Subhrendu Guha Neogi
%A Anand A. Bhaskar
%A Eeshan Pandey
%T Cluster based Anycast Routing Protocol for Wireless Sensor Networks
%J Recent Advances in Wireless Communication and Artificial Intelligence
%@ 0975-8887
%V RAWCAI
%N 1
%P 39-44
%D 2014
%I International Journal of Computer Applications
Abstract

Achieving both energy efficiency and scalability at the same time is a challenging task in wireless sensor networks (WSN). In this paper, we describe the mechanism of Cluster Based Anycast Routing protocol (CBAR) for routing in WSN. This is very crucial to ensure that the system operates at minimum energy with increasing scalability and network life-time in WSN. Main objective of this research is to minimize the energy consumption and thereby enhance the scalability and network life-time. The network life-time can be increased with the introduction of the heterogeneity in sensor nodes. Energy consumption is very much dependent upon the efficiency of routing protocols. The design of the protocol aims to satisfy the requirements of sensor networks that every sensor transmits and receives the data as per the requirement of the node and cluster head. In each cluster, Cluster head (CH) is elected among all the clusters depending upon the efficiency of the node and sensing area coverage. CBAR avoids both flooding and periodic updates of routing information but Cluster head get information updates on the failures of nodes and modification in the cluster. Simulation results show that the proposed CBAR protocol improves energy efficiency and results in an extension of life-time for scalable network when compared with other routing protocols in WSN.

References
  1. Akyildiz, I. F. , Su, W. , Sankarasubramaniam, Y. and Cayirci, E. , 2002, Wireless sensor networks: a survey, IEEE Computer Networks, vol. 38, no. 4, pp. 393-422.
  2. Akyildiz, I. F. , Su, W. , Sankarasubramaniam, Y. and Cayirci, E. , 2002, A survey on sensor networks, IEEE Communications Magazine, vol. 40, no. 8, Aug 2002, pp. 102-114.
  3. Al-Karaki, J. N. ; Kamal, A. E. , 2004, Routing techniques in wireless sensor networks: a survey, IEEE Wireless Communications, vol. 11, no. 6, pp. 6-28.
  4. Royer, E. M. and Toh, C. K. , 1999, A Review of Current Routing Protocols for ad hoc Mobile Wireless Networks, IEEE Personal Communication, Vol. 6, pp. 46-55.
  5. Partridge, C. , Mendez, T. and Milliken, W. , 1993, Host Anycasting Service, RFC 1546, November 1993.
  6. Doi, S. , Ata, S. , Kitamura, H. , Murata, M. and Miyahara, H. , 2003, Protocol design for anycast communication in IPv6 network, IEEE Pacific Rim Conference on Communications, Computers and signal Processing (PACRIM. 2003), vol. 1,28-30 Aug 2003, pp. 470-473.
  7. Weber, S. and Liang C. , 2004, A survey of anycast in IPv6 networks, IEEE Communications Magazine, vol. 42, no. 1, Jan 2004, pp. 127-132.
  8. Thepvilojanapong, N. , Tobe, Y. and Sezaki, K. , 2005, HAR: hierarchy-based anycast routing protocol for wireless sensor networks, Proceedings of the 2005 Symposium on Applications and the Internet, pp. 204-212.
  9. Gao, D. , Qian, H. , Wang, Z. and Chen, J. , 2011, Study and Design an Anycast Routing Protocol for Wireless Sensor Networks, Journal of Networks, vol. 6, no. 12, Dec 2011, pp. 1726-1733.
  10. Heinzelman, W. R. , Chandrakasan, A. and Balakrishnan, H. , 2000, Energy-efficient communication protocol for wireless microsensor networks, Proceedings of the 33rd Annual Hawaii International Conference of System Sciences, vol. 2, 4-7 Jan 2000, pp. 10.
  11. Lindsey, S. and Raghavendra, C. S. , 2002, PEGASIS: Power-efficient gathering in sensor information systems, IEEE Aerospace Conference Proceedings, vol. 3, pp. 1125-1130.
  12. Raghunathan, V. , Schurgers, C. , Sung P. and Srivastava, M. B. , 2002, Energy-aware wireless microsensor networks, IEEE Signal Processing Magazine, vol. 19, no. 2, Mar 2002, pp. 40-50.
  13. Hong J. , Qing-song Y. and Xiao-lei Y. , 2011, An improved IPv6 routing lookup algorithm of WSN, Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 4, 26-28 July 2011, pp. 2234-2238.
  14. Hüseyin Özgür Tan and Ibrahim Körpeoglu, 2003, Power Efficient Data Gathering and Aggregation in Wireless Sensor Networks, Proc. ACM Conf. on SIGMOD, San Diego, CA, Vol. 32, pp. 66-71.
  15. Thepvilojanapong, N. , Tobe, Y. and Sezaki, K. , 2005, HAR: hierarchy-based anycast routing protocol for wireless sensor networks, Proceedings of the 2005 Symposium on Applications and the Internet, pp. 204-210.
Index Terms

Computer Science
Information Sciences

Keywords

Wsn Energy Efficiency Network Life-time Scalability Cluster Head Clustering Algorithm