Mitigating Workload Imbalance in Hazardous Situations through Mobile Sink Coordination

Authors

  • Arati Department of Computer Science and Engineering, Research Scholar, Dr. A. P. J. Abdul Kalam University, Indore
  • Manoj Patil Department of Computer Science and Engineering, Research Supervisor, Dr. A. P. J. Abdul Kalam University, Indore

Keywords:

Opportunistic communications, Energy Efficient, Disaster Area Network

Abstract

This paper addresses the critical issue of workload imbalance in hazardous situations, where uneven distribution of tasks can impede effective response efforts. The proposed solution revolves around the innovative concept of mobile sink coordination, leveraging adaptable and agile data collection points. The study emphasizes the importance of real-time decision-making, resource optimization, and collaborative efforts to ensure a well-coordinated response. The overview establishes the significance of workload balance in hazardous events, introducing mobile sink coordination as a promising solution. Mobile sinks, strategically deployed, dynamically distribute tasks based on evolving demands, thereby enhancing response efficiency. The study unfolds by exploring the technical aspects of implementing mobile sink coordination, including communication protocols, route planning, and resource allocation algorithms. By integrating mobile sink coordination into hazard response strategies, the study envisions a future where data-driven decisions are bolstered by dynamic task distribution. Through empirical analysis and simulations, the paper aims to demonstrate the tangible benefits of this approach in mitigating workload imbalances, enhancing the resilience of response teams, and contributing to safer and more efficient outcomes in hazardous situations. Ultimately, the study aspires to transform the way tasks are allocated and executed, advancing hazard mitigation and response strategies for a safer and more effective future.

Downloads

Download data is not yet available.

References

R. Rani and A. Malik, "Resource-aware routing in opportunistic networks: existing protocols and open research issues," International Journal of Cloud Computing, vol. 12, no. 2-4, pp. 367-398, 2023.

R. Dalal and M. Khari, "Efficacious implementation of deep Q-routing in opportunistic network," Soft Computing, pp. 1-19, 2023.

S. Chaurasia and K. Kumar, "MOORP: Metaheuristic based optimized opportunistic routing protocol for wireless sensor network," Wireless Personal Communications, vol. 132, no. 2, pp. 1241-1272, 2023.

S. P. Ajith Kumar and H. K. Thakur, "Performance Study of Various Routing Protocols in Opportunistic IoT Networks," in Computational Intelligence in Analytics and Information Systems, pp. 233-248, Apple Academic Press, 2023.

R. Yamamoto, T. Yamazaki, and S. Ohzahata, "VORTEX: Network-Driven Opportunistic Routing for Ad Hoc Networks," Sensors, vol. 23, no. 6, p. 2893, 2023.

C. P. Koushik, P. Vetrivelan, and E. Chang, "Markov Chain-based Mobility Prediction and Relay-node Selection for QoS Provisioned Routing in Opportunistic Wireless Network," IETE Journal of Research, pp. 1-13, 2023.

S. D. Chavan, A. S. Thorat, M. S. Gunjal, A. S. Vibhute, and K. R. Desai, "Biologically Inspired Energy Efficient Routing Protocol in Disaster Situation," International Journal of Electronics and Telecommunications, pp. 163-168, 2023.

M. Jesús-Azabal, J. Berrocal, V. N. Soares, J. García-Alonso, and J. Galán-Jiménez, "A self-sustainable opportunistic solution for emergency detection in ageing people living in rural areas," Wireless Networks, pp. 1-18, 2023.

J. Ryu and S. Kim, "Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes," IEEE Access, 2023.

M. O. Olusanya and O. R. Vincent, "A MANET-based emergency communication system for environmental hazards using opportunistic routing," in 2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS), pp. 1-6, IEEE, 2020.

S. Bhattacharjee, S. Roy, S. Das Bit, "Reliable and Energy-Efficient Post-disaster Opportunistic Network Architecture," in *Post-disaster Navigation and Allied Services over Opportunistic Networks*, pp. 79-113, 2021.

S. A. Shah, D. Z. Seker, M. M. Rathore, S. Hameed, S. B. Yahia, and D. Draheim, "Towards disaster resilient smart cities: Can internet of things and big data analytics be the game changers?," IEEE Access, vol. 7, pp. 91885-91903, 2019.

M. D. Kamruzzaman, N. I. Sarkar, J. Gutierrez, and S. K. Ray, "A study of IoT-based post-disaster management," in 2017 International Conference on Information Networking (ICOIN), pp. 406-410, IEEE, 2017.

K. Ali, H. X. V, Q.-T. Vien, P. Shah, M. Raza, V. V. Paranthaman, B. Er-Rahmadi, M. Awais, S. ul Islam, and J. JPC Rodrigues, "Review and implementation of resilient public safety networks: 5G, IoT, and emerging technologies," IEEE Network, vol. 35, no. 2, pp. 18-25, 2021.

H. Petersen, E. Baccelli, M. Wählisch, T. C. Schmidt, and J. Schiller, "The role of the Internet of Things in network resilience," in Internet of Things. IoT Infrastructures: First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part II, pp. 283-296, Springer International Publishing, 2015.

Peer, Mansi, Vivek Ashok Bohara, and Anand Srivastava. "Enabling disaster-resilient communication using multi-hop device-to-device framework." Wireless Networks 27 (2021): 649-661.

K. Sharma, D. Anand, M. Sabharwal, P. K. Tiwari, O. Cheikhrouhou, and T. Frikha, "A disaster management framework using internet of things-based interconnected devices," *Mathematical Problems in Engineering*, 2021, pp. 1-21.

W.-P. Chen, A.-H. Tsai, and C.-H. Tsai, "Smart traffic offloading with Mobile edge computing for disaster-resilient communication networks," Journal of Network and Systems Management, vol. 27, pp. 463-488, 2019.

Sacco, Alessio, Matteo Flocco, Flavio Esposito, and Guido Marchetto. "An architecture for adaptive task planning in support of IoT-based machine learning applications for disaster scenarios." Computer Communications 160 (2020): 769-778.

Butt, Talal Ashraf. "Context‐aware cognitive disaster management using fog‐based internet of things." Transactions on Emerging Telecommunications Technologies 33, no. 8 (2022): e3646.

Ray, Partha Pratim, Mithun Mukherjee, and Lei Shu. "Internet of things for disaster management: State-of-the-art and prospects." IEEE access 5 (2017): 18818-18835.

Downloads

Published

24.03.2024

How to Cite

Arati, A., & Patil , M. . (2024). Mitigating Workload Imbalance in Hazardous Situations through Mobile Sink Coordination . International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 190–200. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5058

Issue

Section

Research Article