ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data

Vol. 4, No. 1, Mar. 2020


Energy Harvesting in Wireless Sensor Networks: Benefits and Challenges | Miscellaneous

a Thai Nguyen University of Technology, Thai Nguyen, Viet Nam

Highlights and Novelties


1- The paper considers energy consumption of sensors in various working modes.

2- All the common energy resources that can be harvested to support wireless sensor networks are addressed.

3- Different amounts of energy harvested can support the networks for suitable applications.

4- Several challenges in clouding some analysis are addressed to support research trends in this field.


Manuscript Abstract
Wireless sensor networks (WSNs) facilitate many different applications in all commercial, civilian and military fields, currently. Energy efficiency is always a critical issue since the networks are often deployed in harsh conditions which may not easily be accessed by human. However, there are always solutions to support back the WSNs. In other words, the networks can harvest energy from environments around since many wireless resources with unlimited energy that can be exploited. This editorial article introduces and also recommends some common energy harvesting technologies available for the networks to be able to support back the pre-charged and rechargeable batteries. This work does not only focus on RF and solar energy resources but also the most common resources to support the networks. Benefits and challenges for harvesting the energy are mentioned and discussed to be able to point out the optimal ways for each scenario suitable to each working condition. The work aims to show the best solutions for the networks to prolong the network lifetime.

Keywords
 Wireless sensor networks   Energy harvesting   Solar energy   Magnetic fields   Thermal   Vibration 

Copyright
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.

Cite this manuscript as
Minh Nguyen, "Energy Harvesting in Wireless Sensor Networks: Benefits and Challenges," ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB), vol. 4, no. 1, pp. 1-3, Mar. 2020.

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