Seybold Report ISSN: 1533-9211
Mohit Tiwari1, Shashi Gandhar 2*, S B Kumar3 , Arvind Rehalia 4 , Sunil Gupta 5
Vol 17, No 12 ( 2022 ) | Licensing: CC 4.0 | Pg no: 3040-3051 | Published on: 07-12-2022
Abstract
Wireless Sensor Networks are crucial elements that are employed to assess the environment, in addition, to utilizing the sensor information for additional computing including climate forecast, human medical-related forecasts, transportation management, and so on. Because of the significant operational expense of the system, the sensor network of the system is anticipated to run independently in the area for an extended length of time in these circumstances. As a consequence of this, the exhaustion of single sensor nodes may have an impact on the network's operations. As a result, in an attempt to extend the network lifespan, an energy-efficient alternative must be proposed. Wireless sensor network technologies have emerged in past decades as an evolving innovation for monitoring & recording ambient physical variables utilizing many sensors. For the organizing of gathered data, centralized sites are required. Multi-hop communication is used to transfer data to the sink nodes communications are needed. To eliminate undesired transmissions, the most well-known WSN approach known as information aggregating is utilized. It must gather information from various sensors & transmit it to the ground station. The procedure of gathering information is repeated many times to maximize information effectiveness. This technology contributes to lower transmitting information power costs.
Keywords:
Wireless Networks, Clustering, Information, Algorithm, Lifetime, Sensors, Data, Network, Nodes, Performance, Etc.