Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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In sensor networks Target Tracking defines how accurate a targets position can be measured. We consider both stationary target and mobile target. Since the mobile target is unknown, the mobile sensor controller utilizes the measurement collected by a wireless sensor network in terms of the mobile target signal’s time of arrival (TOA).We proposed time of arrival2 (TOA2) algorithms which consider time to live (TTL). We investigate the correlations and sensitivity from a set of system parameters. We derive the minimum number of mobile sensors that are required to maintain the resolution for target tracking in a mobile sensor network (MSN).The simulation results demonstrate the tracking performance can be improved by an order of magnitude with the same number of sensors when compared with that of the static sensor environment.
Rashmi Ranjan Sahu. 2014. \u201cPerformance Evaluation of Target Trajectory and Angular Position Discovery Methods in Wireless Sensor Networks\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E4): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: India
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Rashmi Ranjan Sahu, Dr. Jitendranath Mungara (PhD/Dr. count: 1)
View Count (all-time): 211
Total Views (Real + Logic): 8888
Total Downloads (simulated): 2358
Publish Date: 2014 07, Sat
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Neural Networks and Rules-based Systems used to Find Rational and
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In sensor networks Target Tracking defines how accurate a targets position can be measured. We consider both stationary target and mobile target. Since the mobile target is unknown, the mobile sensor controller utilizes the measurement collected by a wireless sensor network in terms of the mobile target signal’s time of arrival (TOA).We proposed time of arrival2 (TOA2) algorithms which consider time to live (TTL). We investigate the correlations and sensitivity from a set of system parameters. We derive the minimum number of mobile sensors that are required to maintain the resolution for target tracking in a mobile sensor network (MSN).The simulation results demonstrate the tracking performance can be improved by an order of magnitude with the same number of sensors when compared with that of the static sensor environment.
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