Energy Efficient Data Aggregation Approach for Sensor Network using Trust Mechanism
Ayush Sharma1, Sunny Arora2

1Ayush Sharma, Department of Computer Science & Engineering, Guru Kashi University, Talwandi Sabo Bathinda (Punjab) India.
2Dr. Sunny Arora, Department of Computer Science & Engineering, Guru Kashi University, Talwandi Sabo Bathinda (Punjab) India.
Manuscript received on 11 June 2023 | Revised Manuscript received on 20 June 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 84-90 | Volume-12 Issue-2, July 2023 | Retrieval Number: 100.1/ijrte.B78090712223 | DOI: 10.35940/ijrte.B7809.0712223

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Abstract: A wireless sensor network consists of numerous sensor nodes which are capable of entering and departing from the network according to their wish. The implementation of sensor networks is done at far places and they are small-sized. Thus, energy consumption becomes the main issue of WSN. Due to the limited energy of sensor nodes, the data that is collected from the intended environment is sent directly to the main station. The sink node receives the data that several sensor nodes send. The decision-making process is implemented by identifying and removing similarities between the data from various sensor nodes. In addition, the sink makes the deployment of obtained data locally as well as transmits these data to the networks which are executed far away. The existing research work employs CTNR, an energy-efficient protocol that is capable of enhancing the duration of WSN. The CTNR protocol consists of two-level hierarchies for mitigating the energy utilized in WSN. This protocol assists in choosing the CHs (cluster heads) on the basis of distance and energy. This work will focus on enhancing the CTNR routing algorithm so that the life span of the network can be prolonged.
Keywords: IoT, WSN, CTNR, Routing, Multi-level Hierarchy
Scope of the Article: IoT