Litcius/Paper detail

Delay-Tolerant Sensor Network (DTN) Implementation in Cloud Computing

Dharmesh Dhabliya

2021Journal of Physics Conference Series16 citationsDOIOpen Access PDF

Abstract

Abstract In this study’s scheme, the objective is to employ the robot to implement the location estimation process for sensor nodes with which it interacts relative to the radio messages’ signal strengths, having received the signals from the sensor nodes. The implication is that the central purpose of the study lies in the elimination of the static sensor nodes’ processing constraints. Imperative to highlight is that the study’s mathematical contribution lies in the utilization of the REKF-based state estimator to analyze the localization problem. Deviating from Kalman Filter, it is worth noting that REKF exhibits computational efficiency and robustness. Indeed, the localization scheme is implemented on a hybrid network test bed.

Topics & Concepts

Robustness (evolution)Computer scienceKalman filterCloud computingWireless sensor networkEstimatorRadio signalScheme (mathematics)RobotDistributed computingReal-time computingComputer networkArtificial intelligenceMathematicsRadio frequencyTelecommunicationsStatisticsBiochemistryGeneMathematical analysisChemistryOperating systemOpportunistic and Delay-Tolerant NetworksEnergy Efficient Wireless Sensor NetworksEnergy Harvesting in Wireless Networks