Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
A wireless sensor system is an essential aspect in many fields. It consists of a great deal of sensor nodes. These sensor networks carry out a number of tasks, including interaction, distribution, recognition, and power supply. Data is transmitted from source to destination and plays an important role. Congestion may occur during data transmission from one node to another and also at cluster head locations. Congestion will arise as a result of either traffic division or resource allocation. Energy will be wasted due to traffic division congestion, which causes packet loss and retransmission of removed packets. As a result, it must be simplified; hence there are a few Wireless sensor networks with various protocols that will handle Congestion Control. The Deterministic Energy Efficient Clustering (DEC) protocol, which is fully based on residual energy and the token bucket method, is being investigated as a way to increase the energy efficiency. In the event of congestion, our proposal provides a way to cope with it and solves it using this method to improve lifespan of the sensor networks. Experiments in simulation show that the proposed strategy can significantly enhance lifetime, energy, throughput, and packet loss.
Słowa kluczowe
Rocznik
Tom
Strony
507--513
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
autor
- PVP Siddhartha Institute of Technology, India
autor
- PVP Siddhartha Institute of Technology, India
autor
- PVP Siddhartha Institute of Technology, India
autor
- University of Alberta, Edmonton, AB, Canada
Bibliografia
- [1] F. A. Aderohunmu, J. D. Deng and M. K. Purvis, A deterministic energy-efficient clustering protocol for wireless sensor networks, Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2011 , pp. 341-346 https://doi:10.1109/ISSNIP.2011.6146592
- [2] F. Comeau, Optimal Clustering in Wireless Sensor Networks Employing Different Propagation Models And Data Aggregation Techniques (PhD thesis). Dalhousie University, Halifax, Nova Scotia, 2008.
- [3] M. J. Handy, M. Haase, D. Timmermann, Low energy adaptive clustering hierarchy with deterministic cluster-head selection,4th International Workshop on Mobile and Wireless Communications Network, 2002, pp. 368-372 https://doi:10.1109/MWCN.2002.1045790
- [4] W. R. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy efficient communication protocol for wireless microsensor networks, In Proceeding 33rd Hawaii International Conference on System Sciences, 2000,pp. 10 https://doi:10.1109/HICSS.2000.926982
- [5] W. B. Heinzelman, A. P. Chandrakasan, H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 2002: 660-670 https://doi:10.1109/TWC.2002.804190
- [6] Fang Zhu, Junfang Wei, An energy-efficient unequal clustering routing protocol for wireless sensor networks, International Journal of Distributed Sensor Networks,15(9), 2019: 1-15. https://doi.org/10.1177/1550147719879384
- [7] S. Gamwarige and C. Kulasekere, Performance analysis of the EDCR algorithm in a distributed wireless sensor network, IFIP International Conference on Wireless and Optical Communications Networks, 2006, pp. 5 pp.-5 https://doi:10.1109/WOCN.2006.166654
- [8] Javaid N., Rasheed M.B., Imran M ,Mohsen G,Z A Khan, Turki A A ,M Ilahi, An energy-efficient distributed clustering algorithm for heterogeneous WSNs. J Wireless Com Network , 151 (2015): 1-11 https://doi.org/10.1186/s13638-015-0376-4
- [9] Md.Khorshed Alom, Arif H, P K.Choudhury, Improved Zonal Stable Election Protocol (IZ-SEP) for hierarchical clustering in heterogeneous wireless sensor networks, e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2(2022),2022: 1-8 https://doi.org/10.1016/j.prime.2022.100048
- [10] S. Nasr , M. Quwaider, LEACH Protocol Enhancement for Increasing WSN Lifetime, 11th International Conference on Information and Communication Systems (ICICS), 2020, pp. 102-107 https://doi:10.1109/ICICS49469.2020.239542
- [11] Habibulla Mohammad, A. S. Chandrasekhara Sastry, ACNM: Advance coupling networkmodelsleep/wake mechanism for wireless sensor networks. International Journal of Engineering and Technology(UAE), 7(1.1),2018: 350-354 https://doi:10.14419/ijet.v7i1.1.9851
- [12] Habibulla Mohammad, A. S. Chandrasekhara Sastry, Implementation of Multihop technique in DEC Protocol, International Journal of Simulation systems, Science & Technology(UAE), 19(4), 2018: 20.1-20.9 https://doi:10.5013/IJSSST.a.19.04.20
- [13] Habibulla Mohammad, A. S. Chandrasekhara Sastry ,Implementation of Three-Tier Multihop Technique in Advance Coupling Network Model-Deterministic Energy-Efficient Clustering of Wireless Sensor Networks, Journal of Computational and Theoretical Nanoscience, 16(5-6), 2019: 2581-2589 https://doi.org/10.1166/jctn.2019.7934
- [14] Habibulla Mohammad, A. S. Chandrasekhara Sastry , DSWS- Distributed Sleep/Wake Scheduling Scheme for DEC Protocol in Wireless Sensor Networks, International Journal of Recent Technology and Engineering, 18(2),2019: 2695-2701https://doi:10.35940/ijrte.B2810.078219
- [15] S. Hafidi, N. Gharbi and L. Mokdad, Queuing and service management for congestion control in wireless sensor networks using Markov Chains, 2017 IEEE Symposium on Computers and Communications (ISCC), 2017,pp. 176-181https://doi:10.1109/iscc.2017.8024525
- [16] L. Chen and H. X. Li, A Simple Way to Reduce Congestion in Wireless Sensor Networks, 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016,pp. 329-332 https://doi:10.1109/IHMSC.2016.143
- [17] K. Mathews, C. Kramer and R. Gotzhein " Token bucket based traffic shaping and monitoring for WLAN-based control systems," 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017, pp. 1-7 https://doi:10.1109/PIMRC.2017.8292201
- [18] C. Backfrieder, G. Ostermayer ,C. F. Mecklenbräuker, Increased Traffic Flow Through Node-Based Bottleneck Prediction and V2X Communication, IEEE Transactions on Intelligent Transportation Systems, 18(2),2017:349-363 https://doi:10.1109/TITS.2016.2573292
- [19] Changle Li, Wenwei Yue, Guoqiang Mao, Zhigang Xu, Congestion Propagation Based Bottleneck Identification in Urban Road Networks, IEEE Transactions on Vehicular Technology, 69(5),2020:4827-4841 https://doi:10.1109/TVT.2020.2973404
Uwagi
1. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
2. This work was supported by Research & Development Cell-ECE Department, PVP Siddhartha Institute of Technology.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5c9fb9eb-6582-473a-b017-a1f8e3f8dcde