Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity

Ashokkumar NAGARAJAN; Kavıtha A; Devı S

doi:https://doi.org/10.31202/ecjse.948125

Article Details

Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity

Authors:

Ashokkumar NAGARAJAN | Kavıtha A | Devı S

Publisher:

Tayfun UYGUNOĞLU

Main Topics:

Applied physics

Journal:

El-Cezeri 2022 Vol.9 Issue 2, pp.413-423

Document Type:

Article

Publication Date:

5/2022

Document Language:

English

Document ID (Org No.):

2000404434

eISSN:

2148-3736

pISSN:

2148-3736

DOI:

https://doi.org/10.31202/ecjse.948125

Abstract:

 

In data fusion process the fusion centre which lies intermediate distance aggregates the data and forwards to the sink. In scenario of data aggregation at fusion centre an imbalance may occur due to the potential forwarding process of other fusion centres or other sensor nodes to sink. Hence, this back log of time results in forwarding large chunks of data resulting in link imbalance where the associated classical time interval of reporting varies. The problem balancing and coordinating among fusion centres has been achieved in this work using Data Fusion using Generalized Interval Probability Protocol (DFGIPP).  DFGIPP is developed considered the duality principle with proper and improper intervals of reporting to provide coherence among the links. Thus allocating and de-allocating links with the quality of fusion metrics in cooperation between fusion centre and sensor nodes within the terrain is being achieved. The simulation using discrete event network simulator-2 provides better fusion capability under data transfer rates and simulation scenarios.

 

In data fusion process the fusion centre which lies intermediate distance aggregates the data and forwards to the sink. In scenario of data aggregation at fusion centre an imbalance may occur due to the potential forwarding process of other fusion centres or other sensor nodes to sink. Hence, this back log of time results in forwarding large chunks of data resulting in link imbalance where the associated classical time interval of reporting varies. The problem balancing and coordinating among fusion centres has been achieved in this work using Data Fusion using Generalized Interval Probability Protocol (DFGIPP).  DFGIPP is developed considered the duality principle with proper and improper intervals of reporting to provide coherence among the links. Thus allocating and de-allocating links with the quality of fusion metrics in cooperation between fusion centre and sensor nodes within the terrain is being achieved. The simulation using discrete event network simulator-2 provides better fusion capability under data transfer rates and simulation scenarios.

Article Details

Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity

Authors: Ashokkumar NAGARAJAN | Kavıtha A | Devı S

Publisher: Tayfun UYGUNOĞLU

Main Topics: Applied physics

Journal: El-Cezeri 2022 Vol.9 Issue 2, pp.413-423

Document Type: Article

Publication Date: 5/2022

Document Language: English

Document ID (Org No.): 2000404434

eISSN: 2148-3736

pISSN: 2148-3736

DOI: https://doi.org/10.31202/ecjse.948125

Issues

Authors:

Ashokkumar NAGARAJAN | Kavıtha A | Devı S

Publisher:

Tayfun UYGUNOĞLU

Main Topics:

Applied physics

Journal:

El-Cezeri 2022 Vol.9 Issue 2, pp.413-423

Document Type:

Article

Publication Date:

5/2022

Document Language:

English

Document ID (Org No.):

2000404434

eISSN:

2148-3736

pISSN:

2148-3736

DOI:

https://doi.org/10.31202/ecjse.948125