CFP last date
20 May 2024
Reseach Article

Review on a Node Scheduling based on Partition for WSN

by Shivani Thakur, Abhay Bindal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 3
Year of Publication: 2013
Authors: Shivani Thakur, Abhay Bindal
10.5120/12472-8865

Shivani Thakur, Abhay Bindal . Review on a Node Scheduling based on Partition for WSN. International Journal of Computer Applications. 72, 3 ( June 2013), 8-11. DOI=10.5120/12472-8865

@article{ 10.5120/12472-8865,
author = { Shivani Thakur, Abhay Bindal },
title = { Review on a Node Scheduling based on Partition for WSN },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 3 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number3/12472-8865/ },
doi = { 10.5120/12472-8865 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:36:55.425034+05:30
%A Shivani Thakur
%A Abhay Bindal
%T Review on a Node Scheduling based on Partition for WSN
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 3
%P 8-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

WSN can have a node scheduling based on partition. Employment of such technique can reduce energy consumption of wireless sensor nodes and prolong the network lifetime. Firstly the monitoring area was partitioned into equal virtual grid, according to which the algorithm has two working mode one is monitoring mode and other one is tracking mode. In case of former only one node worked in each grid according to scheduling cycle for the reduction of energy consumption, which balances the work among the nodes and also enhances the lifetime of WSN. In case of latter more nodes were woken up to get the précised minutest details without losing the target. This is the effective lifetime that could be stressed or changed accordingly. The schedulable node set was being made in which nodes can work in their turns and the coverage and connectivity is being discussed. In order to control energy consumption as little as possible a threshold was kept for the waking up and sleeping of sensors. The simulation results show that the node scheduling brings results both in network effective lifetime and in energy consumption and this algorithm prolongs the lifetime of the network twice than PEAS.

References
  1. A. Cerpa, D. Estrin, "ASCENT: adaptive self-configuring sensor networks topologies," IEEE Transactions on Mobile Computing, pp. 272- 285, July-Aug. 2004.
  2. Wei Ye, J. Heidemann, and D. Estrin, "An energy-efficient MAC protocol for wireless sensor networks," Proceedings of Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 1567-1576, 2002
  3. Fan Ye, Gary Zhong, Jesse Cheng, Songwu Lu, and Lixia Zhang, "PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks," Proceedings of 23rd IEEE International Conference on Distributed Computing Systems (ICDCS'03), pp. 28, 2003.
  4. Y. Xu, J. Heidemann, and D. Estrin, "Geography informed energy conservation for ad hoc routing," ACM Mobicom, 2001.
  5. A. Mutazono, M. Sugano, M. Murata, "Energy efficient sleep scheduling in wireless sensor networks inspired by satellite behavior of frogs," Proceedings of 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 450-455, 29 March 2010-2 April 2010.
  6. Yaxiong Zhao, Jie Wu, Feng Li, and Sanglu Lu, "VBS: Maximum Lifetime Sleep Scheduling for Wireless Sensor Networks Using Virtual Backbones," Proceedings of IEEE INFOCOM 2010, pp. 1-5, 14-19 March 2010.
  7. San-Yuan Wang, Kuei-Ping Shih, Yen-Da Chen, and Hsin-Hui Ku, "Preserving Target Area Coverage in Wireless Sensor Networks by Using Computational Geometry," Proceedings of 2010 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6, April 18-21, 2010.
  8. Peyman Neamatollahi, Hoda Taheri, Mahmoud Naghibzadeh, Mohammad-Hossein Yaghmaee, "A Hybrid Clustering Approach for ProlongingLifetime in Wireless Sensor Networks," International Symposium on Computer Networks and Distributed Systems (CNDS), pp. 170-174, February 23-24, 2011.
  9. Jing-hui Zhong and Jun Zhang , "Energy Efficient Local Wake-up Scheduling in Wireless Sensor Networks, " IEEE Congress Evolutionary Computation (CEC), pp. 2280-2284, June 5-8, 2011.
  10. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An Application- Specific Protocol Architecture for Wireless Microsensor Networks," IEEE Trans. Wireless Commun. , vol. 1, no. 4, pp. 660–670, Oct. 2002.
  11. S. Lindsey and C. S. Raghavendra, "Pegasis: Power-efficient gathering in sensor information systems," Proc. IEEE Conf. Aerosp. , Big Sky, MT, Mar. 2002, vol. 3, pp. 1125–1130.
  12. H. Ö. Tan and Í. Körpeogˆlu, "Power Efficient Data Gathering and Aggregation in Wireless Sensor Networks," ACM SIGMOD Record, vol. 32, no. 4, pp. 66–71, Dec. 2003.
  13. Chi-Tsun Cheng, Chi K. Tse, and Francis C. M. Lau, "A Clustering Algorithm for Wireless Sensor Networks Based on Social Insect Colonies", IEEE Sensors Journal, vol. 11, no. 3, March 2011.
  14. Bilal Abu Bakr, Leszek Lilie , "A Quantitative Comparison of Energy Consumption and WSN Lifetime for LEACH and LEACH-SM" , 31st ICDCS Workshops 2011 ,pp. 182-191 , June 20-14, 2011.
  15. Jia Xu,Ning Jin, Xizhong Lou,Ting Peng,Qian Zhou,Yanmin Chen on "Improvement of LEACH protocol for WSN" , IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 2174-2177, May 29-31, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Node scheduling coverage connectivity grid WSN partition