The state of the art in cross-layer design for wireless sensor networks

Tommaso Melodia, Mehmet C. Vuran, Dario Pompili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

94 Scopus citations

Abstract

The literature on cross-layer protocols, protocol improvements, and design methodologies for wireless sensor networks (WSNs) is reviewed and a taxonomy is proposed. The communication protocols devised for WSNs that focus on cross-layer design techniques are reviewed and classified, based on the network layers they aim at replacing in the classical open system interconnection (OSI) network stack. Furthermore, systematic methodologies for the design of cross-layer solution for sensor networks as resource allocation problems in the framework of non-linear optimization are discussed. Open research issues in the development of cross-layer design methodologies for sensor networks are discussed and possible research directions are indicated. Finally, possible shortcomings of cross-layer design techniques such as lack of modularity, decreased robustness, and instability are discussed, and precautionary guidelines are presented.

Original languageEnglish (US)
Title of host publicationWireless Systems and Network Architectures in Next Generation Internet
Subtitle of host publicationSecond International Workshop of the EURO-NGI Network of Excellence, Revised Selected Papers
Pages78-92
Number of pages15
DOIs
StatePublished - 2006
Externally publishedYes
Event2nd International Workshop of the EURO-NGI Network of Excellence - Villa Vigoni, Italy
Duration: Jul 13 2005Jul 15 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3883 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop of the EURO-NGI Network of Excellence
Country/TerritoryItaly
CityVilla Vigoni
Period7/13/057/15/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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