Congestion Detection and Mitigation Technique for Multi-Hop Communication in WSN

Main Article Content

K. Phani Rama Krishna
Habibulla Mohammad
Ch Gangadhar
Riazuddin Mohammed

Abstract

The primary function of a network system is to gather information from the observation region and transmit it to the base station. The network life span and congestion are the two major concerns in wireless networks. To enhance the lifespan of the sensor system; multi-hopping has been proved as best in class. Congestion is an important factor to be taken, where multiple nodes forward data to one another in the process of communication. Hence to overcome the issue of congestion in WSN, we proposed a congestion detection and mitigation method along with the multi-hop concept. In this technique, we have considered different routes among communication units that were classified on distance, relative attainment rate (RAR) and node storage occupancy. A utility function (U) has been proposed and calculated using the above illustrated factors for every node that acts as a neighbour to the transmitting node. Neighbour node with highest U-valued will be considered as the packet forwarding node's next hop. In this manner congestion free nodes are selected for data transmission.

Article Details

How to Cite
Krishna, K. P. R. ., Mohammad, H. ., Gangadhar, C. ., & Mohammed, R. . (2023). Congestion Detection and Mitigation Technique for Multi-Hop Communication in WSN. International Journal on Recent and Innovation Trends in Computing and Communication, 11(8s), 236–241. https://doi.org/10.17762/ijritcc.v11i8s.7202
Section
Articles

References

M. Li, Z. Li and A. V. Vasilakos, “A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues,” Proceedings of the IEEE, vol. 101, no. 12, pp. 2538-57, 2013, July. https://doi.org/10.1109/jproc.2013.2257631

I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, “A survey on sensor networks,” IEEE Communications magazine, vol. 40, no. 8, pp. 102-114, 2002. https://doi.org/10.1109/mcom.2002.1024422

H. Mohammad and 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, vol. 16, no. 5-6, pp. 2581-2589, 2019. https://doi.org/10.1166/jctn.2019.7934

H. Mohammad, A. S. ChandrasekharaSastry and G. Vaddeswaram, “Implementation of Multi-Hop Technique in Dec Protocol,” International Journal of Simulation systems, Science & Technology (UAE), vol. 19, no. 4, p. 1, 2018. https://doi.org/10.5013/ijssst.a.19.04.20

H. Mohammad and A. S. ChandrasekharaSastry, “DSWS- Distributed Sleep/Wake Scheduling Scheme for DEC Protocol in Wireless Sensor Networks,” International Journal of Recent Technology and Engineering, vol. 8, no. 2, pp. 2695–2701, 2019. https://doi.org/10.35940/ijrte.b2810.078219

Y. Xiao, M. Peng, J. Gibson, G. G. Xie, D. Z. Du and A. V. Vasilakos, “Tight performance bounds of multihop fair access for MAC protocols in wireless sensor networks and underwater sensor networks,” IEEE Transactions on Mobile Computing, vol. 11, no. 10, pp. 1538-1554, 2011. https://doi.org/10.1109/tmc.2011.190

T. Meng, F. Wu, Z. Yang, G. Chen and A. V. Vasilakos, “Spatial reusability-aware routing in multi-hop wireless networks,” IEEE Transactions on Computers, vol. 65, no. 1, pp. 244-255, 2015. doi: 10.1109/TC.2015.2417543

J. Wang, “Level-based routing protocol design for multi-hop wireless sensor networks,” Journal of Computer Applications, vol. 28, no. 7, pp. 1844–1846, 2008. https://doi.org/10.3724/sp.j.1087.2008.01844

A. M. Ahmed and R. Paulus, “Congestion detection technique for multipath routing and load balancing in WSN,” Wireless Networks, vol. 23, pp. 881-888. https://doi.org/10.1007/s11276-015-1151-5

A. Bohloulzadeh and M. Rajaei, “A survey on congestion control protocols in wireless sensor networks,” International Journal of Wireless Information Networks, vol. 27, pp. 365-384, 2020. https://doi.org/10.1007/s10776-020-00479-3

U. S. Visweswaraiya and K. S. Gurumurthy, “A Novel, Unified Dynamic Data Dissemination [D-Cube] and Traffic Classification Technique for Congestion Avoidance in High Speed Wireless Multimedia Sensor Networks,” International Journal of Simulation--Systems, Science & Technology, vol. 14, no. 2, pp. 26–34, 2013. https://doi.org/10.5013/ijssst.a.14.02.05

C. Busch, R. Kannan and A. V. Vasilakos, “Approximating Congestion+ Dilation in Networks via “Quality of Routing” Games,” IEEE Transactions on Computers, vol. 61, no. 9, pp. 1270-1283, 2011. https://doi.org/10.1109/tc.2011.145

Z. Shelby, C. Pomalaza-Raez, H. Karvonen and J. Haapola, “Energy optimization in multihop wireless embedded and sensor networks,” International journal of wireless information networks, vol. 12, pp. 11-21, 2005. https://doi.org/10.1007/s10776-005-5166-1

J. H. Lee and I. B. Jung, “Adaptive-Compression Based Congestion Control Technique for Wireless Sensor Networks,” Sensors, vol. 10, no. 4, pp. 2919–2945, 2010. https://doi.org/10.3390/s100402919

N. Chilamkurti, S. Zeadally, A. Vasilakos and V. Sharma, “Cross-layer support for energy efficient routing in wireless sensor networks,” Journal of Sensors, vol. 2009, p. 9, 2009. https://doi.org/10.1155/2009/134165

Y. Zeng, K. Xiang, D. Li and A. V. Vasilakos, “Directional routing and scheduling for green vehicular delay tolerant networks,” Wireless networks, vol. 19, pp. 161-173, 2013. https://doi.org/10.1007/s11276-012-0457-9

P. Li, S. Guo, S. Yu and A. V. Vasilakos, “Reliable multicast with pipelined network coding using opportunistic feeding and routing,” IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 12, pp. 3264-3273, 2014. https://doi.org/10.1109/tpds.2013.2297105

M. M. Bhuiyan, I. Gondal and J. Kamruzzaman, “CODAR: Congestion and delay aware routing to detect time critical events in WSNs,” In The International Conference on Information Networking 2011 (ICOIN2011), pp. 357-362, 2011, January. IEEE. doi: 10.1109/ICOIN.2011.5723128

M. M. Bhuiyan, I. Gondal and J. Kamruzzaman, “CAM: congestion avoidance and mitigation in wireless sensor networks,” In 2010 IEEE 71st Vehicular Technology Conference, pp. 1-5, 2010, May. IEEE, doi: 10.1109/VETECS.2010.5494190

Juan Garcia, Guðmundsdóttir Anna, Maria Jansen, Johansson Anna, Anna Wagner. Exploring Decision Trees and Random Forests for Decision Science Applications. Kuwait Journal of Machine Learning, 2(4). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/211

M. Li and Y. Jing, “Feedback congestion control protocol for wireless sensor networks,” In 2012 24th Chinese Control and Decision Conference (CCDC), pp. 4217-4220, 2012, May. IEEE, doi: 10.1109/CCDC.2012.6244675

S. J. Baek, G. De Veciana and X. Su, “Minimizing energy consumption in large-scale sensor networks through distributed data compression and hierarchical aggregation,” IEEE Journal on selected Areas in Communications, vol. 22, no. 6, pp. 1130-1140, 2004. https://doi.org/10.1109/jsac.2004.830934

X. Y. Liu, Y. Zhu, L. Kong, C. Liu, Y. Gu, A. V. Vasilakos and M. Y. Wu, “CDC: Compressive data collection for wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 8, pp. 2188-2197, 2014. doi: 10.1109/TPDS.2014.2345257.

X. Xu, R. Ansari, A. Khokhar and A. V. Vasilakos, “Hierarchical data aggregation using compressive sensing (HDACS) in WSNs,” ACM Transactions on Sensor Networks (TOSN), vol. 11, no. 3, pp. 1-25, 2015. https://doi.org/10.1145/2700264.