2692-4048ISSN (Online)
2770-0070ISSN (Print)
Volume 17 , Issue 1 , PP: 221-228, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Zaynab Saeed Hameed 1 * , Mohammed Arif Nadhom Obaid Al-agar 2 , Israa Ali Al-Neami 3
Doi: https://doi.org/10.54216/FPA.170116
In Wireless Sensor Networks (WSN), congestion control plays a crucial role as the traffic load surpasses the capacity of each major channel. The WSN constrained resources must be taken in consideration while devising such strategies to get the best throughput. Various factors are contributed in the congestion; the primary factor is the over flowing buffer, packet loss, reduce network throughput and loss of energy. This research, studies path load distribution in novel networks, including anonymous communication. Initially there is a chance that the public Wi-current Fi approach will result in notable imbalances. We next modify an optimal path-selection algorithm and use flow level visualization to show that this results in a substantially improved network load balance. Web-based Congestion Control (WCC) needs to make it possible to give WCC channel flows a distinct quality of service (QoS) in order to overcome this difficulty.
Traffic Load , Congestion Detection , Network Capacity , Path Load Distribution
[1] Zheng X, Ping F, Pu Y, Wang Y, Montenegro-Marin CE, Khalaf OI. WITHDRAWN: Recognize and regulate the importance of work-place emotions based on organizational adaptive emotion control. Aggress Violent Behav 2021:101557. https://doi.org/10.1016/j.avb.2021.101557.
[2] Krichen M, Mechti S, Alroobaea R, Said E, Singh P, Ibrahim Khalaf O, et al. A Formal Testing Model for Operating Room Control System using Internet of Things. Comput Mater & Contin 2021;66:2997–3011. https://doi.org/10.32604/cmc.2021.014090.
[3] Khan M, Rehman MM, Khan SA, Saqib M, Kim WY. Characterization and performance evaluation of fully biocompatible gelatin-based humidity sensor for health and environmental monitoring. Front Mater 2023;10. https://doi.org/10.3389/fmats.2023.1233136.
[4] Rehman HMMU, Prasanna APS, Rehman MM, Khan M, Kim S-J, Kim WY. Edible rice paper-based multifunctional humidity sensor powered by triboelectricity. Sustain Mater Technol 2023;36:e00596. https://doi.org/10.1016/j.susmat.2023.e00596.
[5] Aimtongkham P, Horkaew P, So-In C. Multistage fuzzy logic congestion-aware routing using dual-stage notification and the relative barring distance in wireless sensor networks. Wirel Networks 2021;27:1287–308. https://doi.org/10.1007/s11276-020-02513-x.
[6] Acevedo PD, Jabba D, Sanmartin P, Valle S, Nino-Ruiz ED. WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios. IEEE Access 2021;9:60163–74. https://doi.org/10.1109/access.2021.3074436.
[7] Angurala M, Bala M, Bamber SS. Performance Analysis of Modified AODV Routing Protocol With Lifetime Extension of Wireless Sensor Networks. IEEE Access 2020;8:10606–13. https://doi.org/10.1109/access.2020.2965329.
[8] Et. al. MSL. An Adaptive Buffer tradeoff, energy-aware Congestion Control protocol in WSN. Turkish J Comput Math Educ 2021;12:4880–91. https://doi.org/10.17762/turcomat.v12i3.1993.
[9] Tabatabaei S, Omrani MR. Proposing a Method for Controlling Congestion in Wireless Sensor Networks Using Comparative Fuzzy Logic. Wirel Pers Commun 2018;100:1459–76. https://doi.org/10.1007/s11277-018-5648-y.
[10] Zhou Y, Lyu MR. PORT: A Price-Oriented Reliable Transport Protocol for Wireless Sensor Networks. 16th IEEE Int Symp Softw Reliab Eng n.d. https://doi.org/10.1109/issre.2005.32.
[11] Wan C-Y, Eisenman SB, Campbell AT. CODA: Congestion detection and avoidance in sensor networks. Proc. 1st Int. Conf. Embed. networked Sens. Syst., 2003, p. 266–79.
[12] Gholipour M, Haghighat AT, Meybodi MR. Hop-by-hop traffic-aware routing to congestion control in wireless sensor networks. EURASIP J Wirel Commun Netw 2015;2015. https://doi.org/10.1186/s13638-015-0241-5.
[13] Pei T, Lei F, Li Z, Zhu G, Peng X, Choi Y, et al. A Delay‐Aware Congestion Control Protocol for Wireless Sensor Networks. Chinese J Electron 2017;26:591–9. https://doi.org/10.1049/cje.2017.04.010.
[14] Liu Y, Liu A, Zhang N, Liu X, Ma M, Hu Y. DDC: Dynamic duty cycle for improving delay and energy efficiency in wireless sensor networks. J Netw Comput Appl 2019;131:16–27. https://doi.org/10.1016/j.jnca.2019.01.022.
[15] Sharma B, Srivastava G, Lin JC-W. A bidirectional congestion control transport protocol for the internet of drones. Comput Commun 2020;153:102–16. https://doi.org/10.1016/j.comcom.2020.01.072.
[16] Wang C, Sohraby K, Lawrence V, Li B, Hu Y. Priority-based Congestion Control in Wireless Sensor Networks. IEEE Int Conf Sens Networks, Ubiquitous, Trust Comput -Vol 1 n.d.;1:22–31. https://doi.org/10.1109/sutc.2006.1636155.
[17] Ren J, Zhang Y, Deng R, Zhang N, Zhang D, Shen X. Joint Channel Access and Sampling Rate Control in Energy Harvesting Cognitive Radio Sensor Networks. IEEE Trans Emerg Top Comput 2019;7:149–61. https://doi.org/10.1109/tetc.2016.2555806.
[18] Zhuang Y, Yu L, Shen H, Kolodzey W, Iri N, Caulfield G, et al. Data Collection with Accuracy-Aware Congestion Control in Sensor Networks. IEEE Trans Mob Comput 2019;18:1068–82. https://doi.org/10.1109/tmc.2018.2853159.
[19] Jan MA, Jan SRU, Alam M, Akhunzada A, Rahman IU. A Comprehensive Analysis of Congestion Control Protocols in Wireless Sensor Networks. Mob Networks Appl 2018;23:456–68. https://doi.org/10.1007/s11036-018-1018-y.
[20] Jing Y, Heng Z, Xiao W, Yuzhi Z, Ping Y, Xuemei L, et al. An energy-efficient routing strategy based on mobile agent for wireless sensor network. 2017 29th Chinese Control Decis Conf 2017. https://doi.org/10.1109/ccdc.2017.7978959.
[21] Kazmi HSZ, Javaid N, Imran M, Outay F. Congestion Control in Wireless Sensor Networks based on Support Vector Machine, Grey Wolf Optimization and Differential Evolution. 2019 Wirel Days 2019. https://doi.org/10.1109/wd.2019.8734265.
[22] Chughtai O, Badruddin N, Rehan M, Khan A. Congestion Detection and Alleviation in Multihop Wireless Sensor Networks. Wirel Commun Mob Comput 2017;2017:1–13. https://doi.org/10.1155/2017/9243019.
[23] Shah SA, Nazir B, Khan IA. Congestion control algorithms in wireless sensor networks: Trends and opportunities. J King Saud Univ - Comput Inf Sci 2017;29:236–45. https://doi.org/10.1016/j.jksuci.2015.12.005.
[24] Yadav SL, Ujjwal RL, Kumar S, Kaiwartya O, Kumar M, Kashyap PK. Traffic and Energy Aware Optimization for Congestion Control in Next Generation Wireless Sensor Networks. J Sensors 2021;2021. https://doi.org/10.1155/2021/5575802.
[25] Yan J, Qi B. CARA: A Congestion-Aware Routing Algorithm for Wireless Sensor Networks. Algorithms 2021;14:199. https://doi.org/10.3390/a14070199.
[26] Pan W, Tan H, Li X, Li X. Improved RTT Fairness of BBR Congestion Control Algorithm Based on Adaptive Congestion Window. Electronics 2021;10:615. https://doi.org/10.3390/electronics10050615.
