Open Access

ARTICLE

An Enhanced Routing and Lifetime Performance for Industrial Wireless Sensor Networks

by J. V. Anchitaalagammai^1,*, K. Muthumayil², D. Kamalraj Subramaniam³, Rajesh Verma⁴, P. Muralikrishnan⁵, G. Visalaxi⁶

1 Department of Computer Science and Engineering, Velammal College Engineering and Technology, Madurai, 625009, India
2 Department of IT, PSNA College of Engineering and Technology, Dindigul, 624622, India
3 Department of ECE, Karpagam Academy of Higher Education, Coimbatore, India
4 Electrical Engineering Department, King Khalid University, Abha, 62529, Saudi Arabia
5 Department of ECE, K.Ramakrishnan College of Engineering, Tiruchirappalli, 621112, India
6 Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, 600073

* Corresponding Author: J. V. Anchitaalagammai. Email:

Intelligent Automation & Soft Computing 2022, 31(3), 1783-1792. https://doi.org/10.32604/iasc.2022.020967

Received 15 June 2021; Accepted 16 July 2021; Issue published 09 October 2021

Abstract

Industrial Wireless Sensor Networks (IWSNs), especially energy resources, are scarce. Since sensor nodes are usually very dense, and the data sampled by the sensor nodes have high redundancy, data aggregation saves energy, reduces the number of transmissions, and eliminates redundancy. Many applications can be used in IIWSNs, and a new technique is introduced to detect multiple sensors embedded in different sensor nodes. Packets created by different applications have different properties. Sensors are resource-constrained devices because it is necessary to find effective reaction analysis methods and transfer sensed data to base stations. Since sensors are resource-constrained devices, efficient topologies require data distribution from base stations for management, aggregation, and cloud services in the business tier. To propose a Distributed time series Convergence Routing Protocol (DTSCR) is introduced to detect the correct relay node from the source sensors and transmit the data with the data aggregation node help of the eDCP (Edge Data Collection Protocol). The node will send data to the target source only when those in the process transmit the data, and the cutting edge of the terminal generates a trusted merger. This method can provide a reliable and efficient routing path scheme for information collection and dissemination with maximized packets exchanged between nodes and their Neighbor. Recognizes a specific set of sensor network applications to be flexible to this measurable range. We are also improving the DTSR roaming with both network size and node density.

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Keywords

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