Energy Optimization on Joint Task Computation Using Genetic Algorithm

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

Joint computation is a form of collaborative job execution running at separate physical units, which are previously grouped by their unique functionalities. While existing studies have mainly utilized joint computation with direct coordination between nodes in different segments, it is worth considering another scenario where an additional node within a layer relays data to another layer. As a consequence, the node can serve as an aggregation point for data capture units prior to transmission to the sink node. However, this new arrangement produces additional transmission paths and can thus cause additional energy spending. This pilot study investigates the joint computation problem aiming at optimizing energy consumption. Relevant components, such as computation and communication, are taken into account and modeled into formal representation. A genetic algorithm-based solution is then used as a tool to optimize parameter setup. According to the experiment results, the metaheuristic algorithm has potential to achieve the optimal system configuration, emphasizing the data length that affects the final energy spending on communications. However, the algorithm cannot always guarantee the optimality as it relies on the random variable used in the process.
Original languageEnglish
Title of host publication2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-0-7381-2401-8
DOIs
Publication statusPublished - 21 Dec 2020
Event2020 International Conference on Emerging Technology in Computing, Communication and Electronics - Dhaka, Bangladesh
Duration: 21 Dec 202022 Dec 2020
https://ritechs.org/ETCCE2020/

Publication series

NameETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics

Conference

Conference2020 International Conference on Emerging Technology in Computing, Communication and Electronics
Abbreviated titleETCCE 2020
CountryBangladesh
CityDhaka
Period21/12/2022/12/20
Internet address

Keywords

  • Energy Consumption
  • Fog Computing
  • Joint Computation
  • Multi-hop Network
  • Optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Computer Science Applications

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