KFOA: K-mean clustering, Firefly based data rate Optimization and ACO routing for Congestion Control in WSN
Abstract
Wireless sensor network (WSN) is assortment of sensor nodes proficient in environmental information sensing, refining it and transmitting it to base station in sovereign manner. The minute sensors communicate themselves to sense and monitor the environment. The main challenges are limited power, short communication range, low bandwidth and limited processing. The power source of these sensor nodes are the main hurdle in design of energy efficient network. The main objective of the proposed clustering and data transmission algorithm is to augment network performance by using swarm intelligence approach. This technique is based on K-mean based clustering, data rate optimization using firefly optimization algorithm and Ant colony optimization based data forwarding. The KFOA is divided in three parts: (1) Clustering of sensor nodes using K-mean technique and (2) data rate optimization for controlling congestion and (3) using shortest path for data transmission based on Ant colony optimization (ACO) technique. The performance is analyzed based on two scenarios as with rate optimization and without rate optimization. The first scenario consists of two operations as k- mean clustering and ACO based routing. The second scenario consists of three operations as mentioned in KFOA. The performance is evaluated in terms of throughput, packet delivery ratio, energy dissipation and residual energy analysis. The simulation results show improvement in performance by using with rate optimization technique.References
Vikas Srivastava,Sachin Tripathi,Karan Singh,Le Hoang Son,(2019), “Energy efficient optimized rate based congestion control routing in wireless sensor network”, Journal of Ambient Intelligence and Humanized Computing, Springer ,Vol.11, pp 1325–1338.
Shelke MP, Malhotra A, Mahalle P. (2017) , “A packet priority intimation based data transmission for congestion free traffic management in wireless sensor networks”, Computers & Electrical Engineering, Vol.64, pp. 248–261.
Abdulrauf Montaser Ahmed, Rajeev Paulus,(2017), “Congestion detection technique for multipath routing and load balancing in WSN”, Wireless Networks, Vol. 23, pp 881–888.
Hossein Dabbagh Nikokheslat, Ali Ghaffari, (2017),“Protocol for Controlling Congestion in Wireless Sensor Networks”, Wireless Personal Communications, vol. 95, pp. 3233–3251.
Chen W, Niu Y, Zou Y, (2016), “Congestion control and energy-balanced scheme based on the hierarchy for WSNs”, IET wireless sensor systems 7(1):1–8.
Jan MA, Nanda P, He X, Liu RP, (2014).“ PASCCC: priority-based application-specific congestion control clustering protocol”. Comput Netw 74:92–102
C. J. Raman, Visumathi James,(2019) “FCC: Fast congestion control scheme for wireless sensor networks using hybrid optimal routing algorithm”, Cluster Computing , Springer,vol. 22, pp. 12701–1271.
Ding, W., Tang, L. & Ji, S.(2016), Optimizing routing based on congestion control for wireless sensor networks. Wireless Netw 22, 915–925.
Jeyasekar A, SV KR, Uthra A (2017) Congestion avoidance algorithm using ARIMA (2, 1, 1) model-based RTT estimation and RSS in heterogeneous wired-wireless networks. J Netw Comput Appl 93:91–109
Karishma Singh, Karan Singh, Le Hoang Son , Ahmed Aziz,(2018) “Congestion Control in Wireless Sensor Networks by Hybrid Multi-Objective Optimization Algorithm”, Computer Networks, Vol. 138, 19, Pages 90-107.
Mohamed Amine Kafi, Jalel Ben-Othman, Abdelraouf Ouadjaout, Miloud Bagaa, Nadjib Badache,(2016) “REFIACC: Reliable, efficient, fair and interference-aware congestion control protocol for wireless sensor networks”, Computer Communications , Elsevier B.V.,vol. 101, pp. 1–11.
Majid Gholipour, Abolfazl Toroghi Haghighat, Mohammad Reza Meybodi, (2017)“Hop-by-Hop Congestion Avoidance in wireless sensor networks based on genetic support vector machine”, Neuro Computing, Vol. 223 , pp 63–76.
Kakelli Anil Kumar, Addepalli V.N. Krishna ,K. Shahu Chatrapati, (2016),“Congestion Control in Heterogeneous Wireless Sensor Networks for High-Quality Data Transmission” Proceedings of the International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing, Springer, Singapore ,vol. 439, pp 429-437.
Chia-Hsu Kuo,Tzung-Shi Chen, Ying-Hung Lo, (2015),“Efficient traffic load reduction algorithms for mitigating query hotspots for wireless sensor networks”, International Journal of Ad Hoc and Ubiquitous Computing, Vol. 18, No. 3.
M. J. A. Jude and V. C. Diniesh,(2017), "DACC: Dynamic agile congestion control scheme for effective multiple traffic wireless sensor networks," International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, IEEE, pp. 1329-1333.
Sagar B. Tambe, Suhas S. Gajre, (2017),“Novel Strategy for Fairness-Aware Congestion Control and Power Consumption Speed with Mobile Node in Wireless Sensor Networks”, Smart Trends in Systems, Security and Sustainability, Lecture Notes in Networks and Systems, Springer, vol. 18.
Sankalap Arora , Satvir Singh , (2013),“The Firefly Optimization Algorithm: Convergence Analysis and Parameter Selection”, International Journal of Computer Applications (0975 – 8887) Volume 69– No.3.
Yang XS ., “Firefly Algorithms for Multimodal Optimization”, In: Watanabe O., Zeugmann T. (eds) Stochastic Algorithms: Foundations and Applications. SAGA 2009. Lecture Notes in Computer Science, vol 5792. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04944-6_14.
Almajidi A.M., Pawar V.P., Alammari A. (2019) K-Means-Based Method for Clustering and Validating Wireless Sensor Network. , International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-13-2324-9_25
Downloads
Published
Issue
Section
License
Copyright (c) 2022 International Journal of Electronics and Telecommunications
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on https://creativecommons.org/licenses/by/4.0/.
2. Author’s Warranties
The author warrants that the article is original, written by stated author/s, has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author/s. The undersigned also warrants that the manuscript (or its essential substance) has not been published other than as an abstract or doctorate thesis and has not been submitted for consideration elsewhere, for print, electronic or digital publication.
3. User Rights
Under the Creative Commons Attribution license, the author(s) and users are free to share (copy, distribute and transmit the contribution) under the following conditions: 1. they must attribute the contribution in the manner specified by the author or licensor, 2. they may alter, transform, or build upon this work, 3. they may use this contribution for commercial purposes.
4. Rights of Authors
Authors retain the following rights:
- copyright, and other proprietary rights relating to the article, such as patent rights,
- the right to use the substance of the article in own future works, including lectures and books,
- the right to reproduce the article for own purposes, provided the copies are not offered for sale,
- the right to self-archive the article
- the right to supervision over the integrity of the content of the work and its fair use.
5. Co-Authorship
If the article was prepared jointly with other authors, the signatory of this form warrants that he/she has been authorized by all co-authors to sign this agreement on their behalf, and agrees to inform his/her co-authors of the terms of this agreement.
6. Termination
This agreement can be terminated by the author or the Journal Owner upon two months’ notice where the other party has materially breached this agreement and failed to remedy such breach within a month of being given the terminating party’s notice requesting such breach to be remedied. No breach or violation of this agreement will cause this agreement or any license granted in it to terminate automatically or affect the definition of the Journal Owner. The author and the Journal Owner may agree to terminate this agreement at any time. This agreement or any license granted in it cannot be terminated otherwise than in accordance with this section 6. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.
7. Royalties
This agreement entitles the author to no royalties or other fees. To such extent as legally permissible, the author waives his or her right to collect royalties relative to the article in respect of any use of the article by the Journal Owner or its sublicensee.
8. Miscellaneous
The Journal Owner will publish the article (or have it published) in the Journal if the article’s editorial process is successfully completed and the Journal Owner or its sublicensee has become obligated to have the article published. Where such obligation depends on the payment of a fee, it shall not be deemed to exist until such time as that fee is paid. The Journal Owner may conform the article to a style of punctuation, spelling, capitalization and usage that it deems appropriate. The Journal Owner will be allowed to sublicense the rights that are licensed to it under this agreement. This agreement will be governed by the laws of Poland.
By signing this License, Author(s) warrant(s) that they have the full power to enter into this agreement. This License shall remain in effect throughout the term of copyright in the Work and may not be revoked without the express written consent of both parties.
