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IP-enabled smart sensor and actuator node for ambient intelligence systems

  • Kevin I.Kai Wang
  • , Zoran Salcic
  • , Udayanto Dwi Atmojo
  • , Bhaskar Pediredla
  • , Mohammad Hadi
  • , Cyrus Daji
  • University of Auckland

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

3 Citations (Scopus)

Abstract

Ambient Intelligence (AmI) is achieved using ubiquitous sensing and autonomous control implemented on distributed and embedded computing resources hidden within the environment. Modern AmI systems are typically built on wireless sensor and actuator networks (WSANs). The most recent trend is to implement such systems using small embedded devices, such as wireless sensor nodes, with Internet accessibility. Such nodes allow AmI systems to be implemented based on the concept of Internet of Things (IoT), which not only enables autonomous sensing and control, but also allows information to be accessed and processed remotely. In this paper, we present an IP-enabled smart sensor and actuator node that can interface with various digital/analogue sensors and actuators, and communicate with each other using 6LoWPAN protocol. The node can be programmed in a system-level programming language, SystemJ, which supports the design of distributed, reactive and concurrent AmI systems. The high-level programming abstraction and system-level design methodology provided by SystemJ removes the needs of additional middleware and significantly reduces the complexity of designing highly distributed AmI systems.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Subtitle of host publicationSensing the Future, ISSNIP 2013
PublisherIEEE
Pages225-230
Number of pages6
Volume1
ISBN (Print)978-1-4673-5500-1
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Conference publication
EventInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing - Melbourne, Australia
Duration: 2 Apr 20135 Apr 2013
Conference number: 8

Conference

ConferenceInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing
Abbreviated titleISSNIP
Country/TerritoryAustralia
CityMelbourne
Period02/04/201305/04/2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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