Aware Sensor Cloud Integration Model Using Game Theory for Optimal Scheduling and Resource Allocation
Abstract
The Sensor Cloud Systems (SCS) have become a promising architecture of combining the large sensor networks with cloud computing to provide scalable data processing and intelligent services. Nonetheless, the issue of efficient scheduling of tasks and allocation of resources in SCS is not an easy task because of the limited sensor energy, dynamism of the workloads, and heterogeneity of the cloud resources. In this paper, it is suggested that an energy-conscious sensor cloud integration model is proposed using the game theory to optimally schedule and assign resources. The framework proposed is based on the premise that the sensors and the cloud nodes are rational players who compete and collaborate in order to maximize individual and system-wide goals. An energy-focused payoff function is aimed at decreasing energy usage and increasing the pace of task completion and use of cloud resources. The vast amount of simulations carried out prove that the suggested game theotic model is much better than the current heuristic and traditional scheduling techniques in energy efficiency, performance of the task and the use of resources. The effectiveness and strength of the suggested approach is proved even more by statistical significance analysis and ablation studies. The findings show that the suggested model provides scalable and efficient model to energy conscious scheduling and resource utilization in sensor cloud settings.
References
[2] Ayan Mondal et al., “SensOrch: QoS-Aware Resource Orchestration for Sensor-Cloud,” Sensor Cloud Resource Orchestration, 2024.
[3] H.-Y. Shi, W.-L. Wang, N.-M. Kwok, and S.-Y. Chen, “Game Theory for Wireless Sensor Networks: A Survey,” Sensors, 2012.
[4] Salil Bharany et al., “A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing,” Sustainability, 2022.
[5] Xiao Yan et al., “Game Theory-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks,” Sensors, 2022.
[6] Gururaj S. Kori and Mahabaleshwar S. Kakkasageri, “Game Theory based Resource Identification Scheme for Wireless Sensor Networks,” MECS Press, 2022.
[7] Md Arafat Habib and Sangman Moh, “Game Theory-Based Routing for Wireless Sensor Networks: A Comparative Survey,” Applied Sciences, 2019.
[8] Fatemeh Rahmani et al., “Game theory and Evolutionary-optimization methods applied to resource allocation problems in emerging computing environments: A survey,” arXiv, 2020.
[9] Carmen Delgado, María Canales, et al., “Energy-aware Dynamic Resource Allocation in Virtual Sensor Networks,” arXiv, 2024.
[10] Mehrshad Eskandarpour et al., “Game-Theoretic and Reinforcement Learning-Based Cluster Head Selection for Energy-Efficient Wireless Sensor Network,” arXiv, 2025.
[11] S. Li, L. Xu, and S. Zhao, “The internet of things: a survey,” Information Systems Frontiers, vol. 17, no. 2, pp. 243–259, 2015.
[12] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
[13] H.-Y. Shi, W.-L. Wang, N.-M. Kwok, and S.-Y. Chen, “Game theory for wireless sensor networks: A survey,” Sensors, vol. 12, no. 7, pp. 9055– 9097, 2012.
[14] R. Buyya, S. Ranjan, and R. N. Calheiros, “Modeling and simulation of scalable cloud computing environments and the CloudSim toolkit: Challenges and opportunities,” in Proc. of IEEE International Conference on High Performance Computing and Simulation, 2009, pp. 1–11.
[15] F. Rahmani, J. Hassannataj Joloudari, and H. Goudarzi, “Game theory and evolutionary-optimization methods applied to resource allocation problems in emerging computing environments: A survey,” arXiv preprint arXiv:2012.11355, 2020.
[16] M. Eskandarpour, S. Shekofteh, and H. R. Mashhadi, “Game-Theoretic and Reinforcement Learning-Based Cluster Head Selection for EnergyEfficient Wireless Sensor Networks,” arXiv preprint arXiv:2508.12707, 2025.
[17] A. Mondal, N. K. Mishra, and S. Misra, “SensOrch: QoS-Aware Resource Orchestration for Sensor-Cloud,” Journal of Sensor and Actuator Networks, vol. 9, no. 4, 2020.
[18] H. Patel, D. Patel, and S. Bhatt, “Energy-efficient task scheduling in wireless sensor networks: A survey,” International Journal of Advanced Research in Computer Science, vol. 8, no. 5, pp. 1–7, 2017.
[19] C. Delgado, M. Canales, and P. García, “Energy-aware dynamic resource allocation in virtual sensor networks,” arXiv preprint arXiv:2402.08443, 2024.
[20] J. Guerreiro, L. Rodrigues, and N. Correia, “Resource Allocation Model for Sensor Clouds under the Sensing as a Service Paradigm,” Computers, vol. 8, no. 1, 2019.
[21] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
[22] S. Li, L. Xu, and S. Zhao, “The Internet of Things: A survey,” Information Systems Frontiers, vol. 17, no. 2, pp. 243–259, 2015.
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