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 Title: Optimal energy consumption with communication, computation, caching and quality guarantee Authors: Zafari, FLi, JLeung, KKTowsley, DSwami, A Item Type: Journal Article Abstract: Energy efficiency is a fundamental requirement of modern data communication systems, and its importance is reflected in much recent work on performance analysis of system energy consumption. However, most work has only focused on communication and computation costs without accounting for data caching costs. Given the increasing interest in cache networks, this is a serious deficiency. In this paper, we consider the problem of energy consumption in data communication, compression and caching (C3) with a quality-of-information (QoI) guarantee in a communication network. Our goal is to identify the optimal data compression rates and cache placement over the network that minimizes the overall energy consumption in the network. We formulate the problem as a Mixed Integer Non-Linear Programming (MINLP) problem with non-convex functions, which is NP-hard in general. We propose a variant of the spatial branch and bound algorithm (V-SBB) that can provide an $\epsilon$ -global optimal solution to the problem. By extensive numerical experiments, we show that the C3 optimization framework improves the energy efficiency by up to 88% compared to any optimization that only considers either communication and caching or communication and computation. Furthermore, the V-SBB technique provides comparatively better solution than some other MINLP solvers at the cost of added computation time. Issue Date: 1-Mar-2020 Date of Acceptance: 6-Apr-2019 URI: http://hdl.handle.net/10044/1/69225 DOI: 10.1109/TCNS.2019.2913563 ISSN: 2325-5870 Publisher: IEEE Start Page: 151 End Page: 162 Journal / Book Title: IEEE Transactions on Control of Network Systems Volume: 7 Issue: 1 Copyright Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information Sponsor/Funder: IBM United Kingdom Ltd Funder's Grant Number: 4603317662 Keywords: Science & TechnologyTechnologyAutomation & Control SystemsComputer Science, Information SystemsComputer ScienceData compressionenergy efficiencywireless sensor networksAGGREGATION TECHNIQUESSENSOR NETWORKSWIRELESSFRAMEWORKALGORITHMScience & TechnologyTechnologyEngineering, Electrical & ElectronicTelecommunicationsEngineeringcs.NIcs.NIcs.PFcs.NIcs.NIcs.PF0102 Applied Mathematics0805 Distributed Computing0906 Electrical and Electronic Engineering Publication Status: Published Online Publication Date: 2019-04-26 Appears in Collections: Faculty of EngineeringComputingElectrical and Electronic Engineering