System-level approach to the design of ambient intelligence systems based on wireless sensor and actuator networks

Udayanto Dwi Atmojo*, Zoran Salcic, Kevin I.Kai Wang, Hee Jong Park

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

20 Citations (Scopus)

Abstract

Wireless sensor and actuator networks (WSANs) have become pervasive and are used in many embedded and intelligent systems. However, the complexity of applications based on these networks is limited due to lack of tools for designing distributed systems on top of WSANs. In this paper, we present how a system-level programming language, SystemJ, is used to develop a middleware-free Ambient Intelligence (AmI) system. The system consists of a combination of Internet-enabled stationary and mobile WSAN nodes, which resembles an Internet of Things scenario. A distributed warehouse monitoring and control scenario with collaborating stationary and mobile WSAN nodes is used as a motivating example designed and implemented in SystemJ. This example demonstrates the capabilities of SystemJ for designing distributed AmI systems with inherent support for reactivity and composition of concurrent behaviors based on a formal model of computation, without the need for any additional middleware. The approach is compared with existing software agent, robotic and WSAN middleware approaches in designing the same type of systems.

Original languageEnglish
Pages (from-to)153-169
Number of pages17
JournalJournal of Ambient Intelligence and Humanized Computing
Volume6
Issue number2
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

Keywords

  • Actuator networks
  • Distributed AmI systems
  • System-level design
  • Wireless sensor

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