Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7241
Title: | Optimizing Physical-Layer Parameters for Wireless Sensor Networks | Authors: | Holland, Matthew Wang, Tianqi Tavlı, Bülent Seyedi, Alireza Heinzelman, Wendi |
Keywords: | Design Performance Algorithms Energy and resource management modeling of systems and physical environments physical-layer network protocols |
Publisher: | Assoc Computing Machinery | Abstract: | As wireless sensor networks utilize battery-operated nodes, energy efficiency is of paramount importance at all levels of system design. In order to save energy in the transfer of data from the sensor nodes to one or more sinks, the data may be routed through other nodes rather than transmitting it directly to the sink(s). In this article, we investigate the problem of energy-efficient transmission of data over a noisy channel, focusing on the setting of physical-layer parameters. We derive a metric called the energy per successfully received bit, which specifies the expected energy required to transmit a bit successfully over a particular distance given a channel noise model. By minimizing this metric, we can find, for different modulation schemes, the energy-optimal relay distance and the optimal transmit energy as a function of channel noise level and path loss exponent. These results enable network designers to select the hop distance, transmit power, and/or modulation scheme that maximize network lifetime. | URI: | https://doi.org/10.1145/1921621.1921622 https://hdl.handle.net/20.500.11851/7241 |
ISSN: | 1550-4859 1550-4867 |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
59
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
53
checked on Dec 21, 2024
Page view(s)
82
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.