Efficient Service Embedding in Smart Buildings with Joint Energy and Latency Optimization

Authors

  • KandiBhavani and Dr. Sanju and Dr.M. shashidhar

Keywords:

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Abstract

This paper, a rough outline of the Mixed Integer Linear Programming (MILP) framework is suggested to reduce the combined power usage of the computational processing and network traffic patterns. The given model is implemented to a smart building setting to explore energy-efficient and latency-aware deployment of IoT resources. The core issue as discussed in this paper is to identify an ideal number of IoT nodes and communication connections to enable efficient integration of Business Processes (BPs) into the underlying IoT infrastructure.

References

I.Khan,F.Belqasmi,R.Glitho,N.Crespi,M.Morrow,and P. J. I. N. Polakos, "Wireless sensor network virtualization: early architecture and research perspectives," vol. 29, no.3, pp. 104-112, 2015.

A. N. Al-Quzweeni, A. Q. Lawey, T. E. Elgorashi, and J. M. Elmirghani, "Optimized Energy Aware 5G Network Function Virtualization," 2018.

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Published

2024-08-05

How to Cite

KandiBhavani and Dr. Sanju and Dr.M. shashidhar. (2024). Efficient Service Embedding in Smart Buildings with Joint Energy and Latency Optimization. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 3021–3037. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4633

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Section

Articles