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Mobile edge computing for efficient energy management systems

Padmanayaki Selvarajan, Betty Elezebeth Samuel, Krishnamoorthy Ranganathan, Arvind Kumar Shukla, M. Amina Begum, S. Arun

202327 citationsDOI

Abstract

Chapter 16 discusses mobile edge computing for an efficient energy management system. Edge computing environment provides an optimal solution for latency and lifetime of a device. Thus edge computing will be considered as the next step in developing applications in the IoT environment, maintaining the benefits. There are overheads that occur with computation at the edges and each of the edge nodes will directly or indirectly influence the battery life, i.e. energy consumption which is maintained by batteries. Apart from the regular constraints, edge computing needs to focus on privacy and data reduction methods, and is then compared with other computational systems. The chapter further addresses the future challenges to be considered in this particular area which will give rise to future research.

Topics & Concepts

Computer scienceEnhanced Data Rates for GSM EvolutionMobile edge computingTelecommunicationsGreen IT and SustainabilitySmart Grid Energy ManagementContext-Aware Activity Recognition Systems