Enhanced PEGASIS using Dynamic Programming for Data Gathering in Wireless Sensor Network
Abstract
A number of routing protocol algorithms such as Low-Energy Adaptive Clustering Hierarchy (LEACH) and Power-Efficient Gathering in Sensor Information Systems (PEGASIS) have been proposed to overcome the problem of energy consumption in Wireless Sensor Network (WSN) technology. PEGASIS is a development of the LEACH protocol, where within PEGASIS all nodes are active during data transfer rounds thus limiting the lifetime of the WSN. This study aims to propose improvements from the previous PEGASIS version by giving the name Enhanced PEGASIS using Dynamic Programming (EPDP). EPDP uses the Dominating Set (DS) concept in selecting a subset of nodes to be activated and using dynamic programming based optimization in forming chains from each node. There are 2 topology nodes that we use, namely random and static. Then for the Base Station (BS), it will also be divided into several scenarios, namely the BS is placed outside the network, in the corner of the network, and in the middle of the network. Whereas to determine the performance between EPDP, PEGASIS and LEACH, an analysis of the number of die nodes, number of alive nodes, and remaining of energy were analyzed. From the experiment result, it was found that the EPDP protocol had better performance compared to the LEACH and PEGASIS protocols in terms of number of die nodes, number of alive nodes, and remaining of energy. Whereas the best BS placement is in the middle of the network and uses static node distribution topologies to save more energy.Downloads
References
Frank L. Lewis, Wireless sensor networks, Smart environments: technologies, protocols, and applications, pp. 11-46, 2004.
M. Robihul Mufid, M. Udin Harun Al Rasyid, Amang Sudarsono, Allocation Strategy Guaranteed Time Slots (GTS) on Real Hardware Wireless Sensor Network (WSN), International Conference on Information & Communication Technology and System (ICTS), pp. 187-192, Oct. 2017.
IEEE 802.15.4, Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs), IEEE Standard for Local and metropolitan area networks, Sep. 2011.
M. Udin Harun Al Rasyid, Bih-Hwang Lee, Iwan Syarif, Mokhammad Muqoffi Arkham, LEACH Partition Topology for Wireless Sensor Network, International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp. 1-5, May 2018.
Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, Energy efficient communication protocol for wireless microsensor networks, International Conference on Hawaii International Conference in System Sciences (HICSS), pp. 3005-3014, Jan. 2000.
Stephanie Lindsey, Cauligi Raghavendra, and Krishna M. Sivalingam, Data gathering algorithms in sensor networks using energy metrics, IEEE Trans. Parallel Distrib. Syst., vol. 13, no. 9, pp. 924–935, Sep. 2002.
Wendi Rabiner Heinzelman, Anantha P. Chandrakasan, and Hari Balakrishnan, An application-specific protocol architecture for wireless microsensor networks, IEEE Trans. Wireless Communications, vol. 1, no. 4, pp. 660- 670, Oct. 2002.
Balakrishnan Baranidharan, and B. Santhi, GAECH: Genetic Algorithm Based Energy Efficient Clustering Hierarchy in Wireless Sensor Networks, Journal of. Sensors, 2015.
Stephanie Lindsey and Cauligi S. Raghavendra, PEGASIS: Power-efficient gathering in sensor information systems, In Aerospace conference proceedings, vol. 3, pp. 3-3, 2002.
Alekha Kumar Mishra, Rukshan Ur Rahman, Rahul Bharadwaj, and Rohit Sharma, An Enhancement of PEGASIS Protocol with Improved Network Lifetime for Wireless Sensor Networks, Communication and Information Technology Conference (PCITC), pp. 142-147, 2015.
Jin Wang, Jiayi Cao, Yiquan Cao, Bin Li, and Sungyoung Lee, An improved energy-efficient clustering algorithm based on MECA and PEGASIS for WSNs, International Conference on Advanced Cloud and Big Data, pp. 262-266, 2015.
Saurav Ghosh, Sanjoy Mondal, and Utpal Biswas, Enhanced PEGASIS using ant colony optimization for data gathering in WSN, International Conference on Information Communication and Embedded Systems (ICICES), pp. 1-6, 2016.
Azrina Abd Aziz, and Y. Ahmet ÅžekercioÄŸlu. A distributed energy aware connected dominating set technique for wireless sensor networks, International Conference on Intelligent and Advanced Systems (ICIAS), vol. 1, pp. 241-246, Jun. 2012.
Kui, X., Sheng, Y., Du, H., & Liang, J. (2013). Constructing a CDS-based network backbone for data collection in wireless sensor networks, International Journal of Distributed Sensor Networks, vol. 9, no. 4, pp. 258081, 2013.
Ronald A. Howard, Dynamic Programming and Markov Processes, MIT Press and Wiley, New York, 1960.
Copyright (c) 2019 EMITTER International Journal of Engineering Technology
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright to this article is transferred to Politeknik Elektronika Negeri Surabaya(PENS) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to PENS. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment. The copyright transfer form can be downloaded here .
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
- Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
- Authors may reproduce or authorize others to reproduce the work or derivative works for the author’s personal use or company use, provided that the source and the copyright notice of Politeknik Elektronika Negeri Surabaya (PENS) publisher are indicated.
- Authors are allowed to use and reuse their articles under the same CC-BY-NC-SA license as third parties.
- Third-parties are allowed to share and adapt the publication work for all non-commercial purposes and if they remix, transform, or build upon the material, they must distribute under the same license as the original.
Plagiarism Check
To avoid plagiarism activities, the manuscript will be checked twice by the Editorial Board of the EMITTER International Journal of Engineering Technology (EMITTER Journal) using iThenticate Plagiarism Checker and the CrossCheck plagiarism screening service. The similarity score of a manuscript has should be less than 25%. The manuscript that plagiarizes another author’s work or author's own will be rejected by EMITTER Journal.
Authors are expected to comply with EMITTER Journal's plagiarism rules by downloading and signing the plagiarism declaration form here and resubmitting the form, along with the copyright transfer form via online submission.