Araştırma Makalesi

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

Cilt: 9 Sayı: 2 31 Mayıs 2022
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Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity

Öz

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.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Mayıs 2022

Gönderilme Tarihi

5 Haziran 2021

Kabul Tarihi

29 Kasım 2021

Yayımlandığı Sayı

Yıl 2022 Cilt: 9 Sayı: 2

Kaynak Göster

APA
Nagarajan, A., A, K., & S, D. (2022). Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity. El-Cezeri, 9(2), 413-423. https://doi.org/10.31202/ecjse.948125
AMA
1.Nagarajan A, A K, S D. Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity. ECJSE. 2022;9(2):413-423. doi:10.31202/ecjse.948125
Chicago
Nagarajan, Ashokkumar, Kavıtha A, ve Devı S. 2022. “Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity”. El-Cezeri 9 (2): 413-23. https://doi.org/10.31202/ecjse.948125.
EndNote
Nagarajan A, A K, S D (01 Mayıs 2022) Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity. El-Cezeri 9 2 413–423.
IEEE
[1]A. Nagarajan, K. A, ve D. S, “Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity”, ECJSE, c. 9, sy 2, ss. 413–423, May. 2022, doi: 10.31202/ecjse.948125.
ISNAD
Nagarajan, Ashokkumar - A, Kavıtha - S, Devı. “Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity”. El-Cezeri 9/2 (01 Mayıs 2022): 413-423. https://doi.org/10.31202/ecjse.948125.
JAMA
1.Nagarajan A, A K, S D. Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity. ECJSE. 2022;9:413–423.
MLA
Nagarajan, Ashokkumar, vd. “Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity”. El-Cezeri, c. 9, sy 2, Mayıs 2022, ss. 413-2, doi:10.31202/ecjse.948125.
Vancouver
1.Ashokkumar Nagarajan, Kavıtha A, Devı S. Wireless Sensor Data Fusion Techniques in Estimating Temporal Resource Attributes in Scenarios of Intermittent Connectivity. ECJSE. 01 Mayıs 2022;9(2):413-2. doi:10.31202/ecjse.948125

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