Buffer-Aware Route-Finding Mechanism for Enhanced Communication in Infrastructure-less Wireless Networks

International Journal of Electronics and Communication Engineering
© 2023 by SSRG - IJECE Journal
Volume 10 Issue 9
Year of Publication : 2023
Authors : Mohammad Khaja Nizamuddin, D HariKrishna, Syed Raziuddin, M. Anusha, Arshad Ahmad Khan Mohammad
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Mohammad Khaja Nizamuddin, D HariKrishna, Syed Raziuddin, M. Anusha, Arshad Ahmad Khan Mohammad, "Buffer-Aware Route-Finding Mechanism for Enhanced Communication in Infrastructure-less Wireless Networks," SSRG International Journal of Electronics and Communication Engineering, vol. 10,  no. 9, pp. 28-37, 2023. Crossref, https://doi.org/10.14445/23488549/IJECE-V10I9P104

Abstract:

Wireless infrastructure-less networks are designed to provide access irrespective of geographical positioning, featuring key attributes such as mobility, heterogeneous resource utilization, peer-to-peer communication, adaptability, and self-forming capabilities. These networks find crucial applications in health management, military operations, and disaster relief, where efficient communication is imperative. The linchpin of communication in such networks lies in routing, which entails creating a path from source to destination and forwarding data in the form of packets. However, efficient routing becomes paramount when considering the constraints of limited buffer capacity within these networks. In this paper, we introduce a novel buffer-aware route-finding mechanism, leveraging the knapsack algorithm to optimize the packet processing ability of nodes based on their residual buffer size. The primary focus of this protocol is to mitigate the packet loss issue stemming from buffer overflow, a common challenge in infrastructure-less networks. We meticulously execute, evaluate, and validate our proposed mechanism using the NS-2 simulator. Our results unequivocally demonstrate the significant enhancement in network performance achieved through implementing our approach, notably reducing packet loss. This innovative buffer-aware routing solution holds immense promise for improving the reliability and efficiency of communication in infrastructure-less wireless networks, thereby contributing to the advancement of various critical applications.

Keywords:

Infrastructure-less networks, Buffer-aware routing, Wireless communication, Knapsack mechanism, Packet loss mitigation.

References:

[1] Mona N. Alslaim, Haifaa A. Alaqel, and Soha S. Zaghloul, “A Comparative Study of MANET Routing Protocols,” The Third International Conference on e-Technologies and Networks for Development (ICeND2014), pp. 178-182, 2014. 
[CrossRef] [Google Scholar] [Publisher Link]
[2] R. Sujee, and K.E. Kannammal, “Routing Protocols Based on Network Structure in Wireless Sensor Networks - A Survey,” SSRG International Journal of Computer Science and Engineering, vol. 2, no. 4, pp. 17-24, 2015. 
[CrossRef] [Publisher Link]
[3] Nileshkumar R. Patel, and Shishir Kumar, “Wireless Sensor Networks’ Challenges and Future Prospects,” 2018 International Conference on System Modeling & Advancement in Research Trends (SMART), pp. 60-65, 2018. 
[CrossRef] [Google Scholar] [Publisher Link]
[4] M. Supriya, and T. Adilakshmi, “Secure Routing Using ISMO for Wireless Sensor Networks,” SSRG International Journal of Computer Science and Engineering, vol. 8, no. 12, pp. 14-20, 2021. 
[CrossRef] [Google Scholar] [Publisher Link]
[5] T. Senthil Kumaran, and V. Sankaranarayanan, “Early Congestion Detection and Adaptive Routing in MANET,” Egyptian Informatics Journal, vol. 12, no. 3, pp. 165-175, 2011. 
[CrossRef] [Google Scholar] [Publisher Link]
[6] Silvano Martello, and Paolo Toth, “A New Algorithm for the 0-1 Knapsack Problem,” Management Science, vol. 34, no. 5, pp. 633-644, 1988. 
[CrossRef] [Google Scholar] [Publisher Link]
[7] J. Stuart Hunter, “The Exponentially Weighted Moving Average,” Journal of Quality Technology, vol. 18, no. 4, pp. 203-210, 1986. 
[CrossRef] [Google Scholar] [Publisher Link]
[8] Chien-Hsing Huang, Pao-Chu Chen, and Chi-Chang Chen, “A New Method of Target Tracking with Wireless Sensor Networks,” International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 175-182, 2020. 
[CrossRef] [Publisher Link]
[9] Vladimir V. Kalashnikov, Mathematical Methods in Queuing Theory, Springer Science & Business Media, 1993. 
[Google Scholar] [Publisher Link]
[10] Teerawat Issariyakul, and Ekram Hossain, Introduction to Network Simulator 2 (NS2), Springer, Boston, MA, pp. 1-18, 2009. 
[CrossRef] [Google Scholar] [Publisher Link]
[11] Edo John et al., “A Framework for Scalability on Wireless Connections in Cellular Networks,” International Journal of Computer Trends and Technology, vol. 68, no. 5, pp. 30-36, 2020. 
[CrossRef] [Publisher Link]
[12] Kamal Mistry, Sanjay Srivastava, and R.B. Lenin, “Buffer Aware Routing in Interplanetary Ad Hoc Network,” 2009 First International Communication Systems and Networks and Workshops, pp. 1-10, 2009. 
[CrossRef] [Google Scholar] [Publisher Link]
[13] Sairam Kaleru, and Srinivasa Rao Dhanikonda, “Empyrical Study of Load Balancing Algorithms in Cloud Computing,” Pramana Research Journal, vol. 8, no. 10, pp. 202-207, 2018. 
[Google Scholar] [Publisher Link]
[14]  Annabathula Phani Sheetal et al., “Load Balancing and Parallel Computation Model for Performance and Accuracy over the Cluster of Nodes,” International Information and Engineering Technology Association, vol. 27, no. 2, pp. 343-348, 2022. 
[CrossRef] [Google Scholar] [Publisher Link]