Recent advancements in the field of Wireless Sensor Networks (WSNs) have resulted in a wide range of applications in a variety of fields, and it is not an exaggeration to argue that no field has been left unaffected by sensors. Agriculture, defence, medical, disaster and relief management, vehicle traffic monitoring, animal monitoring in forests, and monitoring of pollution levels in the atmosphere are just a few examples. The combination of micro-sensing and wireless communication between these nodes opens up a slew of new domains. Wireless sensor network applications can be divided into several categories. Environment, health, space exploration, chemical processing, and disaster aid are just a few of the topics covered. Finally, end-users will receive updated information through sensor networks. Wireless sensor networks are likely to become an important aspect of our lives in the future. The majority of nodes are powered by nonrechargeable batteries. As a result, energy is a major challenge. The only way to deploy sensor fields in enemy zones, impenetrable locations such as woods and hilly terrains, and other hazardous settings is at random. It is tough to replace drained batteries in such circumstances. Furthermore, the sensor nodes are frequently abandoned for the crucial reason that their As a result, a significant bottleneck is ensuring lower power consumption in tough sensor field conditions where sensor nodes are to be installed. As a result, prior and current research has concentrated on the creation of power conservation strategies. In general, these protocols offer end-user trade-offs in order to extend network lifetime. The major goal of this study is to investigate the effect of the sampling interval, which is one of the sensor node parameters, on the sensor node's battery life. An incorrect sample interval selection will result in a strong recovery effect, which will cause the sensor node's battery to die prematurely. The wireless sensor network would thus die prematurely as a result of this. The suggested approach utilised in this paper improved the battery life of the sensor node by 18%, extending the lifetime of the wireless sensor network.
Author (s) Details
Satyanarayana Chanagala
SBIT, Department of Electronics and Communication, Khammam, Telangana, India.
Z. J. Khan
RCERT, Chandrapur, Maharashtra, India.
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