TY - CHAP
T1 - Optimal design of wireless sensor networks
AU - Mura, Marcello
AU - Campanoni, Simone
AU - Fornaciari, William
AU - Sami, Mariagiovanna
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-642-31739-2_19
DO - 10.1007/978-3-642-31739-2_19
M3 - Chapter
AN - SCOPUS:84865703773
SN - 9783642317385
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 375
EP - 395
BT - Methodologies and Technologies for Networked Enterprises
A2 - Anastasi, Giuseppe
A2 - Bellini, Emilio
A2 - Di Nitto, Elisabetta
A2 - Ghezzi, Carlo
A2 - Tanca, Letizia
A2 - Zimeo, Eugenio
ER -