Semantic Scholar Open Access 2020 74 sitasi

Cluster-tree based energy efficient data gathering protocol for industrial automation using WSNs and IoT

K. Karunanithy Bhanumathi Velusamy

Abstrak

Abstract Integrating Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is to build a heterogeneous device network for connecting, sharing and storing their information in order to create the application environment as smart. It also helps in industrial automation to predict and build a fault-tolerant environment. The automation of industry can be made possible with the emergence of new developments in sensor manufacturing and communication. In this paper, a Cluster-Tree based Energy Efficient Data Gathering (CTEEDG) protocol is proposed to increase the lifetime and throughput of WSNs. The CTEEDG uses the Fuzzy logic to select the Cluster Head (CH) based on the information collected locally. In the inter-cluster communication phase, the tree topology is established between the clusters towards the Base Station (BS) which ensures the availability of the congestion free shortest path to the BS. From the simulation results, the proposed CTEEDG outperforms the FAMACROW and DL-LEACH by 28.81% and 38.28% in terms of throughput. And also, the proposed method has 29.26% and 49.29% reduction in average energy consumption when compared to the FAMACROW and DL-LEACH.

Topik & Kata Kunci

Penulis (2)

K

K. Karunanithy

B

Bhanumathi Velusamy

Format Sitasi

Karunanithy, K., Velusamy, B. (2020). Cluster-tree based energy efficient data gathering protocol for industrial automation using WSNs and IoT. https://doi.org/10.1016/j.jii.2020.100156

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
74×
Sumber Database
Semantic Scholar
DOI
10.1016/j.jii.2020.100156
Akses
Open Access ✓