Planning and Addressing of Wireless Sensor Networks

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dc.contributor.author Agbinya, JI
dc.contributor.editor Agbinya, JI
dc.contributor.editor Biermann, E
dc.contributor.editor Hamam, Y
dc.contributor.editor Rocaries, F
dc.contributor.editor Lal, SK
dc.date.accessioned 2010-06-17T04:36:50Z
dc.date.issued 2009-01
dc.identifier.citation Biomedical and Environmental Sensing, 2009, 1, pp. 219 - 239
dc.identifier.isbn 978-87-92329-28-8
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/12346
dc.description.abstract Sensor networks need to be planned but unfortunately most reported implementations are ad hoc in nature and hence lack the required robust performance. A great deal of current research on wireless sensor networks is dominated by reliance on models and experiments based on random distribution of sensors in the network and within the environments without a systematic network planning. In practice, sensor networks that will be used for day to day applications will need to be planned for coverage, performance and throughput. Understandably, the lack of planning methods for sensor networks is a limiting factor against practical implementations. Understanding how to plan sensor networks will lead to significant implementations and applications. The major objectives for planning sensor networks include enhancement of connectivity, better area of coverage, reduced interference, optimum monitoring or sensing of conditions within the geographical region of interest, topology control and network management. Unplanned sensor networks therefore effectively work against the desired objectives. Optimal placement of sensors reduces the costs of network ownership and management and enhances the detection potential of the network. A reusable sensor network planning method provides a template for rapid deployment of sensor networks in different environments and for different applications.
dc.publisher River Publishers
dc.title Planning and Addressing of Wireless Sensor Networks
dc.type Chapter
dc.parent Biomedical and Environmental Sensing
dc.journal.number en_US
dc.publocation Denmark en_US
dc.publocation Australia
dc.publocation Denmark
dc.publocation Denmark
dc.publocation Denmark
dc.publocation Denmark
dc.identifier.startpage 219 en_US
dc.identifier.endpage 239 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference International Conference on Information Fusion
dc.for 090609 Signal Processing
dc.for 090303 Biomedical Instrumentation
dc.for 090699 Electrical and Electronic Engineering Not Elsewhere Classified
dc.personcode 030858
dc.percentage 60 en_US
dc.classification.name Electrical and Electronic Engineering not elsewhere classified en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.edition 1
dc.edition 1
dc.edition 1
dc.edition 1
dc.custom en_US
dc.date.activity en_US
dc.date.activity 2003-07-08
dc.location.activity en_US
dc.location.activity Cairns, Australia
dc.description.keywords NA en_US
dc.description.keywords Tracking, filtering, estimation, fusion.
dc.description.keywords NA
dc.description.keywords NA
dc.description.keywords NA
dc.description.keywords NA
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10


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