Middleware for resource sharing in multi-purpose wireless sensor networks

Pedro Javier Del Cid, Sam Michiels, Wouter Joosen, Danny Hughes

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

10 Citations (Scopus)

Abstract

In order to improve application reaction times and decrease overall transmission overhead, Wireless Sensor Network (WSN) applications are being developed to push intelligence into the network. In multi-purpose enterprise deployments of WSNs the infrastructure is considered a light-weight service platform that can provide services for multiple concurrent distributed applications. In this context our middleware focuses on efficiently managing shared resources while considering Quality of Data (QoD) and context aware operation. In this paper we address the issue of how concurrent use of WSN services may lead to consequential contention over a sensor node's resources. We contribute by introducing share-able components that minimize the consequential resources needed and a resource planner that effectively reserves these resources. A prototype implementation and evaluation are provided.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Networked Embedded Systems for Enterprise Applications, NESEA 2010
DOIs
Publication statusPublished - 2010
Event1st IEEE International Conference on Networked Embedded Systems for Enterprise Applications, NESEA 2010 - Suzhou, China
Duration: 25 Nov 201026 Nov 2010

Publication series

Name2010 IEEE International Conference on Networked Embedded Systems for Enterprise Applications, NESEA 2010

Conference

Conference1st IEEE International Conference on Networked Embedded Systems for Enterprise Applications, NESEA 2010
Country/TerritoryChina
CitySuzhou
Period25/11/1026/11/10

Keywords

  • Adaptive middleware
  • Optimization
  • Resource management
  • Service composition
  • Wireless sensor network

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