شماره ركورد كنفرانس :
1730
عنوان مقاله :
An Adaptive Environmental Modeling Localization Method in Wireless Sensor Networks
عنوان به زبان ديگر :
An Adaptive Environmental Modeling Localization Method in Wireless Sensor Networks
پديدآورندگان :
Solhjoo Babak نويسنده , Tinati Mohammad Ali نويسنده
تعداد صفحه :
6
كليدواژه :
Wireless sensor networks , RSSI , AEM , Adaptive Localization , Noncircular Model
سال انتشار :
2012
عنوان كنفرانس :
بيستمين كنفرانس مهندسي برق ايران
زبان مدرك :
فارسی
چكيده لاتين :
This paper presents a new localization algorithm in Wireless Sensor Networks. The RSSI (Received Signal Strength Indicator) is a localization method which provides an inexpensiveand accurate solution for localization. However the time and location based fluctuations on the RSSI values and impropermodels cause a considerable localization error in the real applications. Most of the RSSI models suppose the radio range to be circular. In the proposed method the algorithm tries to find a relation between RSSI and distance for each anchor node in each direction adaptively and produce a noncircular model. Thesimulation results show that this method can reduce amount of the localization error considerably. Also unlike to the range freemethods the proposed method can work properly in the low node densities.
شماره مدرك كنفرانس :
4460809
سال انتشار :
2012
از صفحه :
1
تا صفحه :
6
سال انتشار :
2012
لينک به اين مدرک :
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