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

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Clustering in Wireless Sensor Networks using IDEC-LEACH-C Hybrid Energy Efficient Protocol

by Sahar Fattahi, Amir Najafi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 4
Year of Publication: 2016
Authors: Sahar Fattahi, Amir Najafi
10.5120/ijca2016909595

Sahar Fattahi, Amir Najafi . Clustering in Wireless Sensor Networks using IDEC-LEACH-C Hybrid Energy Efficient Protocol. International Journal of Computer Applications. 141, 4 ( May 2016), 7-15. DOI=10.5120/ijca2016909595

@article{ 10.5120/ijca2016909595,
author = { Sahar Fattahi, Amir Najafi },
title = { Clustering in Wireless Sensor Networks using IDEC-LEACH-C Hybrid Energy Efficient Protocol },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 4 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 7-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number4/24770-2016909595/ },
doi = { 10.5120/ijca2016909595 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:33.507161+05:30
%A Sahar Fattahi
%A Amir Najafi
%T Clustering in Wireless Sensor Networks using IDEC-LEACH-C Hybrid Energy Efficient Protocol
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 4
%P 7-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent advances in wireless telecommunication and electronics have provided the ability to design and produce sensors with low consumption power, small size, fair price and different usages. These small sensors, which are able to accomplish tasks like receiving different peripheral information, are the cause of creation of an idea for developing networks called Wireless Sensor Networks (WSN). The most challenging task in WSN networks is routing. There are different protocols in WSN, which were used for routing data packages from beginning to destination. LEACH is the first and the most famous hierarchical clustering algorithm with effective energy for WSNs, which was proposed for decreasing the energy consumption. Definite clustering protocol (DEC) uses the remaining energy of each cluster node (RE) for the process of selecting CH. As long as the RE of each node is higher than its adjacent, DEC considers that node as a selection choice and guarantees that each CH has enough energy to cope with its role, of course until the end of the network lifetime (unlike LEACH). In this research, it is decided that in order for improving the results, the LEACH-C protocol, which excels the performance of the LEACH protocol, to be combined with the protocol IDEC (Improved DEC). In this study, the descriptive-analytical approach was carried out as a research methodology based on the proposed model. The proposed model was combined with two algorithms of LEACH-C and IDEC. In this study, results of LEACH, LEACH-C and DEC were compared. According to the research results, we observed that the performance of the proposed protocol excels other proposed protocols. The protocol ICED & LEACH-C saves energy. As we know, decreased energy consumption increases lifetime of the network.

References
  1. Samundiswary P., Raj Kumar Naik M. (2013). Performance analysis of deterministic energy efficiency clustering protocol for WSN; International Journal of Soft Computing and Engineering (IJSCE), 2, 6, 431-435.
  2. Geetha N., Kllapur P., Tellajeera S. (2012). Clustering in wireless sensor networks: performance comparison of LEACH & LEACH-C protocols using NS2; ELSEVIER, 4,163-170.
  3. Verma N., Prasad D., Chawla M. Energy & through of hierarchical routing protocol LEACH & LEACH-C for WSNs: A Review. International journal of research in management science & technology, 1, 1, 25-28.
  4. Nguyen L., Defago X., Beuran R., Shinoda Y. (2008). An energy efficient routing scheme for mobile wireless sensor networks, ( ISWCS), 568-572.
  5. Ran G., Zhang H., Gong S. (2010). Improving on LEACH protocol of wireless sensor networks using fuzzy logic, Journal of Information & Computational Science, 7, 3, 767–775.
  6. Arbab E., Aghazarian V., Hedayati A., Ghazanfari Motlagh N. (2012). A LEACH-Based clustering algorithm for optimizing energy consumption in wireless sensor networks, 2nd International Conference on Computer Science and Information Technology (ICCSIT), 28, 147-150
  7. Bani Yassein M., Al-zou'bi A., Khamayseh Y., Mardini W. (2009). Improvement on LEACH protocol of wireless sensor network (VLEACH), International Journal of Digital Content Technology and its Applications, 3, 2.
  8. Sabarish B A., Guru Moorthy S M., Dhivya M A., Sakthi Naveen K., Vaishnavi S.(2012). A survey on clustering protocols in Wireless Sensor Networks, An International online open access peer reviewed journal, 160-166.
  9. Handy M., Haase M., Timmermann D. Low energy adaptive clustering hierarchy with deterministic cluster-head selection.
  10. Majadi N. (2012). U-LEACH: A routing protocol for prolonging lifetime of wireless sensor networks, International Journal of Engineering Research and Applications (IJERA), 2, 4, 1649-1652.
  11. Gnanambigai J., Rengarajan N., Anbukkarasi K. (2012). Leach and its descendant protocols: A Survey, International Journal of Communication and Computer Technologies, 1, 2, 15-21
  12. Femi A.(2013).Optimization of Energy-efficient Transmission Protocol for Wireless Sensor Networks.Doctor of Philosophy,Univercity of Otago, Dunedin, New Zealand.
  13. Liu X. (2012). A survey on clustering routing protocols in wireless sensor networks. sensors, 12, 11113-11153.
  14. Rathi N. (2013). Performance analysis of a concentric cluster based hierarchical routing protocolsfor WSN. International journal of computer science and mobile cpmputing(IJCSMC),2 (2),21-27.
  15. Ahmed O.,Sajid A. ,Mehmood m. (2011). Comparison of routing protocols to assess network lifetime of WSN. . International journal of computer science issues (IJCSI), 8 (6), 220-224.
  16. EL-Basioni B., EL-Kader S., Eissa H.,Zahra M.(2011). An optimized energy-aware routing protocol for wireless sensor network.Egyptain Informatics Journal, 12, 61-72.
  17. Ruan F., Yin C., Chen J., Wang J., Xue S. (2013). A distance clustering routing algorithm considering energy for wireless sensor networks.International Journal of Future Generation Communication and Networking,6,5,73-80.
  18. Chatterjee S., Singh M. (2012). A centralized energy-efficient routing protocol for wireless sensor networks. Int. J. Advanced Networking and Applications, 3, 5, 12-18.
  19. Baiping L., Xiaoqin Z. (2012). Research and improvement of LEACH protocol for wireless sensor network. International Conference on Information Engineering Lecture Notes in Information Technology, 25, 48-54.
  20. EL Khediri S., Nasri N., Wei A., Kachouri A. (2014). A new Approach for clustering in wireless sensors networks based on LEACH. Science Direct, 32, 1180-1185.
  21. Himanshi, Vashist S.,Soni M. (2013). Study of wireless sensor network using LEACH protocol. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 3, 2, 5-8.
  22. Ahmad A. , Latif K. , Javai N. , Khan Z. , Qasmi U.(2013). Density controlled divide-and-rule scheme for energy efficient routing in wireless sensor networks.Canadian Conference Of Electrical And Computer Engineering (CCECE).
  23. Nikolidakis S., Kandris D., Vergados D., Douligeris C.(2013). Energy efficient routing in wireless sensor networks through balanced lustering. algorithms, 6,29-42.
  24. Kumar V., Jain S., Tiwari S. (2011). Energy efficient clustering algorithms in wireless sensor networks: A survey. International Journal of Computer Science (IJCSI), 8, 5, 259-268.
  25. Bakaraniya P., Mehta S. (2013). K-LEACH: An improved LEACH protocol for lifetime improvement in WSN. International Journal of Engineering Trends and Technology (IJETT), 4, 5, 1521-1526.
  26. Ali Khan Z. (2012). Advanced zonal rectangular LEACH (AZR-LEACH): An energy efficient routing protocol for wireless sensor networks. Master of Computer Science, Dalhousie University Halifax, Nova Scotia.
  27. Sheikhpour R.,Sivakumar D.(2012). A cluster-chain based routing protocol for balancing energy consumption in wireless sensor networks.International Journal of Multimedia and Ubiquitous Engineering, 7, 2, 1-16.
  28. Madhumathy P.,Jabbehdari S., khademzadeh A.(2012). A comparative analysis of clustering based routing techniques for WSN. International Journal of Scientific & Engineering Research, 3, 10, 1-5.
  29. Zawaideh F. (2012). An Energy Efficient Clustering Algorithm for Wireless Sensor Networks (EECA). Master of Science in Computer Engineering, Eastern Mediterranean University.
  30. Najafi, A. (2011). Prediction of the price transmission performance using fuzzy cognitive maps. Australian Journal of Basic and Applied Sciences, 5 (9), 1281-1287.
  31. Najafi, A., & Afrazeh, A. (2011). Analysis of the environmental projects risk management success using analytical network process approach. International Journal of Environmental Research, 5 (2), 277-284.
  32. Najafi, A., & Afrazeh, A. (2010). Productivity strategies ranking of knowledge workers. Journal of Applied Sciences and Environmental Management, 5 (9), 1281-1287.
  33. Najafi, A., & Afrazeh, A. (2010). Using analytical network process for ranking educational factors influencing on knowledge worker productivity. World Applied Sciences Journal, 9 (6), 605-618.
Index Terms

Computer Science
Information Sciences

Keywords

Low Energy Adaptive Clustering Hierarchy (LEACH) Low Energy Adaptive Clustering Hierarchy-Centralized (LEACH-C) Definite Clustering Protocol (DEC)

Powered by PhDFocusTM