Optimal design of wireless sensor networks

Marcello Mura*, Simone Campanoni, William Fornaciari, Mariagiovanna Sami

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Since their introduction, Wireless Sensor Networks (WSN) have been proposed as a powerful support for environment monitoring, ranging from monitoring of remote or hard-to-reach locations to fine-grained control of cultivations. Development of a WSN-based application is a complex task and challenging issues must be tackled starting from the first phases of the design cycle. We present here a tool supporting the DSE phase to perform architectural choices for the nodes and network topology, taking into account target performance goals and estimated costs. When designing applications based on WSN, the most challenging problem is energy shortage. Nodes are normally supplied through batteries, hence a limited amount of energy is available and no breakthroughs are foreseen in a near future. In our design cycle we approach this issue through a methodology that allows analysing and optimising the power performances in a hierarchical fashion, encompassing various abstraction levels.

Original languageEnglish (US)
Title of host publicationMethodologies and Technologies for Networked Enterprises
Subtitle of host publicationArtDeco: Adaptive Infrastructures for Decentralised Organisations
EditorsGiuseppe Anastasi, Emilio Bellini, Elisabetta Di Nitto, Carlo Ghezzi, Letizia Tanca, Eugenio Zimeo
Pages375-395
Number of pages21
DOIs
StatePublished - Sep 10 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7200 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Mura, M., Campanoni, S., Fornaciari, W., & Sami, M. (2012). Optimal design of wireless sensor networks. In G. Anastasi, E. Bellini, E. Di Nitto, C. Ghezzi, L. Tanca, & E. Zimeo (Eds.), Methodologies and Technologies for Networked Enterprises: ArtDeco: Adaptive Infrastructures for Decentralised Organisations (pp. 375-395). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7200 LNCS). https://doi.org/10.1007/978-3-642-31739-2_19