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A Distributed Artificial Intelligence Framework to Evolve Infrastructure Resilience in Telecommunications Sector
Ahmed A. Mawgoud, Mohamed M. Eltabey, Amr Abu-Talleb
Severe natural threats have been increased by climate changes and this originates various high-level threats. This paper discusses the concept of resilience in the context of these problems for telecommunications sector. One of the recent examples that led to a wide power instability was the power cut off. Many telecommunications operators forced actions to limit the spread of natural risks. The paper’s main focus is on two main purposes, the first one is the to propose a mechanism for enhancing resilience in telecom infrastructure, while the second purpose is to quantify the financial value to achieve this resilience. From this point, early definitions of power systems resilience were provided. Then, we examine the main effects of natural disasters on the resilience of the infrastructure in telecommunication sectors, especially the ones related to energy. Eventually, a decentralized plan of action is proposed for a Resilient Management System (RMS) with the aid of demand response resources and distributed storage. The high-precision model which we pro-pose provides telecom operators, regulatory authorities and IT sectors with a clear image for taking defensive measures and making strategic decisions.
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