02203nas a2200373 4500008004100000245005900041210005900100260000800159520112600167653001401293653001501307653002601322653001601348653003301364653003201397653001501429653002401444653003201468653001001500653001901510653001601529653002701545653002801572653001801600653004201618653002801660653002401688653001201712100001501724700001601739700001901755700001801774856003701792 2004 eng d00aData centric modeling of environmental sensor networks0 aData centric modeling of environmental sensor networks cNov3 a
Meteorological and hydrological sensors deployed over several hundred kilometers of geographical area comprise an environmental sensor network. Large amounts of data need to be processed in minimal time and transmitted over the available low speed and low bandwidth links. This paper describes algorithms for optimal data collection and data fusion. An inductive model using exponential back-off policy is used to collect optimal amount of data. The data measurements for temperature, pH and specific conductance collected for a year from the sensors deployed at Lake Lewisville are used to test the inductive model. Energy savings of 90% are achieved even with 1% of degree of tolerance. The problem of data fusion is addressed by the introduction of a novel concept of a super-sensor, based on self-organization and collaboration among sensors. A histogram application is described that uses recursive doubling for global collaboration between sensors. The performance of the networked super-sensor in comparison to a centralized polling approach is analyzed for optimality on two different geographical areas.
10aBandwidth10abiosensors10adata centric modeling10adata fusion10aenvironmental sensor network10aexponential back-off policy10aHistograms10ahydrological sensor10aInternational collaboration10aLakes10ameteorological10aMeteorology10anetworked super-sensor10aoptimal data collection10asensor fusion10aSensor phenomena and characterization10aTemperature measurement10atemperature sensors10aTesting1 aDantu, Ram1 aAbbas, Kaja1 aO'Neill, Marty1 aMikler, Armin uhttps://nsl.cse.unt.edu/node/225