Today sensing resources are widely increased in terms of nodes and it affects the Grid computing systems. This technology is used for predicting traffic and for road safety. These systems usually share resources and collaborate with sensing devices for processing data and propagate results. In this paper we proposed WSN based delay tolerance mechanism that considers cost matrix and dynamic delay tolerance. The allocation of resources depends critically on the cost associated with virtual machine. It considers exponential residency of VC and execution time along with bandwidth utilization. Bandwidth consumption and cost of execution is reduced greatly by the effect of proposed mechanism.

WSN, Grid computing, delay tolerance, resource scheduling

[1] R. K. Naha, S. Garg, D. Georgakopoulos, P. P. Jayaraman, L. Gao, Y. Xiang, and R. Ranjan, “Fog computing: Survey of trends, architectures, requirements, and research directions,” IEEE Access, vol. 6, no. c, pp. 47980–48009, 2018.
[2] B. Brik, N. Lagraa, N. Tamani, and A. Lakas, “Renting out Grid Services in Mobile WSN,” Res. Gate, no. December, 2018.
[3] M. R. Jabbarpour, A. Marefat, A. Jalooli, and H. Zarrabi, “Correction to?: Grid-based WSN networks?: a taxonomy , survey , and conceptual hybrid architecture Could-based WSN networks?: a taxonomy , survey , and conceptual hybrid architecture,” Wirel. Networks, no. November, 2017.
[4] R. Yu, X. Huang, J. Kang, J. Ding, S. Maharjan, S. Gjessing, and Y. Zhang, “Cooperative resource management in Grid-enabled WSN networks,” IEEE Trans. Ind. Electron., vol. 62, no. 12, pp. 7938–7951, 2015.
[5] T. Mori, Y. Utsunomiya, X. Tian, and T. Okuda, “Queueing theoretic approach to job assignment strategy considering various inter-Arrival of job in fog computing,” 19th Asia-Pacific Netw. Oper. Manag. Symp. Manag. a World Things, APNOMS 2017, pp. 151–156, 2017.
[6] K. Zheng, H. Meng, P. Chatzimisios, L. Lei, and X. Shen, “An SMDP-Based Resource Allocation in WSN Grid Computing Systems,” IEEE Trans. Ind. Electron., vol. 62, no. 12, pp. 7920–7928, 2015.
[7] K. Zhang, Y. Mao, S. Leng, Q. Zhao, L. Li, and X. Peng, “Energy-efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks,” IEEE Access, vol. 3536, no. c, pp. 1–10, 2016.
[8] W. Zhang, Z. Zhang, and H. Chao, “Cooperative Fog Computing for Dealing with Big Data in the Internet of Nodes?: Architecture and Hierarchical Resource Management,” IEEE Access, no. December, pp. 60–67, 2017.
[9] J. Fan, R. Li, and X. Zhang, “Research on delay tolerance strategy based on two level checkpoint server in autonomous WSN Grid,” Proc. 2017 IEEE 7th Int. Conf. Electron. Inf. Emerg. Commun. ICEIEC 2017, no. 61363079, pp. 381–384, 2017.
[10] Y. Sharma, B. Javadi, W. Si, and D. Sun, “Reliability and energy efficiency in Grid computing systems: Survey and taxonomy,” J. Netw. Comput. Appl., vol. 74, pp. 66–85, 2016.
[11] H. S. Y. Lin, “EAFR: An Energy-Ef?cient Adaptive File Replication System in Data-Intensive Clusters,” IEEE Trans. Parallel Distrib. Syst., pp. 1017–1030, 2017.
[12] B. Shrimali and H. Patel, “Performance Based Energy Efficient Techniques For VM Allocation In Grid Environment,” IEEE Access, pp. 477–486, 2017.
[13] H. . Z. D. . Zhao B.a Aydin, “Reliability-Aware dynamic voltage scaling for energy-constrained real-time embedded systems,” 26th IEEE Int. Conf. Comput. Des. 2008, ICCD, vol. 546244, pp. 633–639, 2008.
[14] H. M.-R. Mahdi Ghamkhari, “Energy and Performance Management of Green Data Centers: A Pro?t Maximization Approach,” IEEE Trans. Smart Grid, pp. 1017–1025, 2017.
[15] M. Salehi, M. K. Tavana, S. Rehman, S. Member, M. Shafique, and A. Ejlali, “Two-State Checkpointing for Energy-Efficient Delay Tolerance in Hard Real-Time Systems,” pp. 1–12, 2016.
[16] S. Ben Alla and A. Ezzati, “Hierarchical adaptive balanced energy efficient routing protocol (HABRP) for heterogeneous wireless sensor networks,” Ieee, 2011.
[17] P. Handa, B. Singh Sohi, and N. Kumar, “Energy efficient hybrid routing protocol for underwater acoustic sensor network,” 2016 Int. Conf. Electr. Electron. Optim. Tech., pp. 2573–2578, 2016.
[18] B. Mills, T. Znati, R. Melhem, K. B. Ferreira, and R. E. Grant, “Energy consumption of resilience mechanisms in large scale systems,” Proc. - 2014 22nd Euromicro Int. Conf. Parallel, Distrib. Network-Based Process. PDP 2014, pp. 528–535, 2014.