Author:
Nguyen Minh,Nguyen Cuong,Tran Hoang,Nguyen Hoa
Abstract
Recent years have witnessed several technological breakthroughs in wireless sensor networks (WSN), yet energy continues to be an indispensable resource despite these advancements. The amount of energy that is available in a WSN has a direct bearing on how well it functions, how well it performs, and how long it will continue to operate. Because of the limitations imposed on them by cost and size, sensor nodes almost always come outfitted with a constrained amount of energy. As a direct consequence of this, their batteries will need to be replaced at regular intervals. However, the replacement is only sometimes a viable alternative; in fact, there are some situations in which it is unlikely to be achievable and entirely improbable. Because of this, there is an urgent need for more feasible solutions, which include energy harvesting or wireless energy transfer, as well as the creation of power at the sensor nodes themselves or their delivery of power to them. These options are among the options that are now available. This study intends to accomplish the following three primary goals: In the first step of this process, we will investigate prospective renewable energy resources and information on their qualities and uses in wireless sensor networks (WSN). Second, this study examines various methods for charging batteries and the various ways each of these methods might be applied to wireless sensor networks (WSN).
Publisher
European Alliance for Innovation n.o.
Subject
General Chemical Engineering
Reference56 articles.
1. M. T. Nguyen, K. A. Teague, and N. Rahnavard, “Ccs: Energy-efficient data collection in clustered wireless sen-sor networks utilizing block-wise compressive sensing,” Computer Networks, vol. 106, pp. 171–185, 2016.
2. M. T. Nguyen, H. M. La, and K. A. Teague, “Collaborative and compressed mobile sensing for data collection in distributed robotic networks,” IEEE Transactions on Control of Network Systems, vol. 5, no. 4, pp. 1729–1740, 2018.
3. M. T. Nguyen and K. A. Teague, “Tree-based energy-efficient data gathering in wireless sensor networks deploying compressive sensing,” in 2014 23rd Wireless and Optical Communication Conference (WOCC), pp. 1–6, 2014.
4. M. Nguyen and Q. Cheng, “Efficient data routing for fusion in wireless sensor networks,” Signal, vol. 1000, no. 8, p. 11, 2012.
5. S. Sadeghi, N. Soltanmohammadlou, and F. Nasirzadeh, “Applications of wireless sensor networks to improve occupational safety and health in underground mines,” Journal of Safety Research, 2022.
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