Dense sensor networks that are also energy efficient: When 'more' is 'less'

Yao Win Hong, Anna Scaglione, Rajit Manohar

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

6 Scopus citations


In this paper we compare the energy efficiency of wireless sensor networks sampling a continuous sensor field in two different types of deployment, which we refer to as the High Density (HDSN) and the Low Density (LDSN) Sensor Network architectures. In the LDSN, a set of sensors with high resolution are critically deployed at sampling locations so that each sample is nearly uncorrelated and is transmitted to the central node in a separate channel. In HDSN, a simple zero-crossing detector is used at each sensor and the sensor field is reconstructed at the central node with the zero-crossing information extracted from the sensors' observations. By proposing a scalable data collection protocol for HDSN, we show that the reconstruction performance of the sensor field at the central processor can be achieved with low complexity at the same bandwidth and energy cost. Therefore, the longevity of the sensors is increased due to the reduced per node energy consumption and the reduced computational energy for the data representation at each sensor. Furthermore, we claim that the system versatility and fault tolerance of HDSN makes it an better alternative to the LDSN architecture.

Original languageEnglish (US)
Title of host publicationMILCOM 2005
Subtitle of host publicationMilitary Communications Conference 2005
StatePublished - 2005
Externally publishedYes
EventMILCOM 2005: Military Communications Conference 2005 - Atlatnic City, NJ, United States
Duration: Oct 17 2005Oct 20 2005

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM


OtherMILCOM 2005: Military Communications Conference 2005
Country/TerritoryUnited States
CityAtlatnic City, NJ

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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