A practical approach for complexity analysis of autonomic Internet of Things protocol algorithm

Lukman Rosyidi, Riri Fitri Sari

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

Abstract

Autonomic Internet of Things is the creation of self-management capability in the Internet of Things system by embedding certain properties, in order to free human from all detail of the operation and management of the system while providing the system to always operate on the best performance. Some of these properties are self-healing, self-configuring, self-optimization and self-protection which are taken from the properties of autonomic computing. For this purpose, many algorithms have been proposed. However, Internet of Things networks face the challenge of resource constraint which limits the use of processing power, memory and energy. Therefore, the implementation of the algorithms should put the complexity analysis into consideration. This paper proposed a practical approach for the complexity analysis of the algorithm that is implemented in the network communication protocol for the autonomic Internet of Things. The area of each autonomic property in the network protocol is identified and the complexity of the algorithm is mapped. As the result, a mathematical model is presented, which is useful to observe the complexity of the autonomic properties implementation.

Original languageEnglish
Title of host publication2016 19th International Symposium on Wireless Personal Multimedia Communications, WPMC 2016
PublisherIEEE Computer Society
Pages256-261
Number of pages6
ISBN (Electronic)9784904020098
Publication statusPublished - 20 Jun 2017
Event19th International Symposium on Wireless Personal Multimedia Communications, WPMC 2016 - Shenzhen, China
Duration: 14 Nov 201616 Nov 2016

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
ISSN (Print)1347-6890

Conference

Conference19th International Symposium on Wireless Personal Multimedia Communications, WPMC 2016
Country/TerritoryChina
CityShenzhen
Period14/11/1616/11/16

Keywords

  • Autonomic computing
  • Complexity analysis
  • Internet of Things
  • Self-configuring
  • Self-healing
  • Self-optimization
  • Self-protection

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