Innovations in Energy Harvesting Technologies for Wireless Sensor Networks: Towards Self-Powered Systems

Ravikiran Mahadasa; Dileep Reddy Goda; Pavani Surarapu

doi:10.18034/apjee.v6i2.727

Authors

Ravikiran Mahadasa Senior ETL Lead, Data Inc. (Wells Fargo), CIC BLDG 3, 1525 W W.T. Harris Blvd, Charlotte, NC 28262, USA
Dileep Reddy Goda Software Engineer, iMINDS Technology Systems, Inc. (JPMorgan Chase), 10 S Dearborn St, Chicago, IL 60603, USA
Pavani Surarapu Senior Full Stack Developer, Software Developer Department for Energy, Direct Energy, Houston, TX, USA

DOI:

https://doi.org/10.18034/apjee.v6i2.727

Keywords:

Energy Harvesting, Wireless Sensor Networks, Self-Powered Systems, Renewable Energy, Sustainable Energy Solutions, Power Generation

Abstract

This research looks into new developments in wireless sensor network (WSN) energy harvesting technologies and how they affect self-powered systems. The primary goals are to investigate various energy harvesting technologies, pinpoint integration tactics and obstacles, look at case studies and real-world applications, and suggest future lines of inquiry and research avenues. A thorough analysis of the body of research from credible internet sources, conference proceedings, and peer-reviewed publications is part of the technique. The importance of developments in materials science, their integration with AI and ML methods, the creation of multimodal energy harvesting systems, the investigation of novel energy sources and mechanisms, and the consideration of environmental and social impacts are all highlighted by critical findings. Policy implications include the need for financial incentives, legal frameworks, ecological assessments, social equality programs, and support for research and innovation to encourage the widespread acceptance and sustainable deployment of self-powered sensor networks. By expanding our knowledge and developing new energy harvesting methods for WSNs, this research helps to create sensor systems that are reliable, efficient, and self-sufficient.

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References

Ande, J. R. P. K. (2018). Performance-Based Seismic Design of High-Rise Buildings: Incorporating Nonlinear Soil-Structure Interaction Effects. Engineering International, 6(2), 187–200. https://doi.org/10.18034/ei.v6i2.691 DOI: https://doi.org/10.18034/ei.v6i2.691

Ande, J. R. P. K., Varghese, A., Mallipeddi, S. R., Goda, D. R., & Yerram, S. R. (2017). Modeling and Simulation of Electromagnetic Interference in Power Distribution Networks: Implications for Grid Stability. Asia Pacific Journal of Energy and Environment, 4(2), 71-80. https://doi.org/10.18034/apjee.v4i2.720 DOI: https://doi.org/10.18034/apjee.v4i2.720

Baddam, P. R. (2017). Pushing the Boundaries: Advanced Game Development in Unity. International Journal of Reciprocal Symmetry and Theoretical Physics, 4, 29-37. https://upright.pub/index.php/ijrstp/article/view/109

Baddam, P. R., Vadiyala, V. R., & Thaduri, U. R. (2018). Unraveling Java’s Prowess and Adaptable Architecture in Modern Software Development. Global Disclosure of Economics and Business, 7(2), 97-108. https://doi.org/10.18034/gdeb.v7i2.710 DOI: https://doi.org/10.18034/gdeb.v7i2.710

Deming, C., Baddam, P. R., & Vadiyala, V. R. (2018). Unlocking PHP’s Potential: An All-Inclusive Approach to Server-Side Scripting. Engineering International, 6(2), 169–186. https://doi.org/10.18034/ei.v6i2.683 DOI: https://doi.org/10.18034/ei.v6i2.683

Goda, D. R. (2016). A Fully Analytical Back-gate Model for N-channel Gallium Nitrate MESFET's with Back Channel Implant. California State University, Northridge. http://hdl.handle.net/10211.3/176151

Goda, D. R., Yerram, S. R., & Mallipeddi, S. R. (2018). Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes. Global Disclosure of Economics and Business, 7(2), 123-136. https://doi.org/10.18034/gdeb.v7i2.725 DOI: https://doi.org/10.18034/gdeb.v7i2.725

Haider, M. J., Nordin, R., Gharghan, S. K., Jawad, A. M., Ismail, M. (2017). Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review. Sensors, 17(8), 1781. https://doi.org/10.3390/s17081781 DOI: https://doi.org/10.3390/s17081781

Ju, X., Liu, W., Zhang, C., Liu, A., Wang, T. (2018). An Energy Conserving and Transmission Radius Adaptive Scheme to Optimize Performance of Energy Harvesting Sensor Networks. Sensors, 18(9). https://doi.org/10.3390/s18092885 DOI: https://doi.org/10.3390/s18092885

Kaluvakuri, S., & Vadiyala, V. R. (2016). Harnessing the Potential of CSS: An Exhaustive Reference for Web Styling. Engineering International, 4(2), 95–110. https://doi.org/10.18034/ei.v4i2.682 DOI: https://doi.org/10.18034/ei.v4i2.682

Lin, C-c., Chen, Y-c., Chen, J-l., Deng, D-j., Wang, S-b. (2017). Lifetime Enhancement of Dynamic Heterogeneous Wireless Sensor Networks with Energy-Harvesting Sensors. Mobile Networks and Applications, 22(5), 931-942. https://doi.org/10.1007/s11036-017-0861-6 DOI: https://doi.org/10.1007/s11036-017-0861-6

Mahadasa, R. (2016). Blockchain Integration in Cloud Computing: A Promising Approach for Data Integrity and Trust. Technology & Management Review, 1, 14-20. https://upright.pub/index.php/tmr/article/view/113

Mahadasa, R. (2017). Decoding the Future: Artificial Intelligence in Healthcare. Malaysian Journal of Medical and Biological Research, 4(2), 167-174. https://mjmbr.my/index.php/mjmbr/article/view/683

Mahadasa, R., & Surarapu, P. (2016). Toward Green Clouds: Sustainable Practices and Energy-Efficient Solutions in Cloud Computing. Asia Pacific Journal of Energy and Environment, 3(2), 83-88. https://doi.org/10.18034/apjee.v3i2.713 DOI: https://doi.org/10.18034/apjee.v3i2.713

Mallipeddi, S. R., & Goda, D. R. (2018). Solid-State Electrolytes for High-Energy-Density Lithium-Ion Batteries: Challenges and Opportunities. Asia Pacific Journal of Energy and Environment, 5(2), 103-112. https://doi.org/10.18034/apjee.v5i2.726 DOI: https://doi.org/10.18034/apjee.v5i2.726

Mallipeddi, S. R., Goda, D. R., Yerram, S. R., Varghese, A., & Ande, J. R. P. K. (2017). Telemedicine and Beyond: Navigating the Frontier of Medical Technology. Technology & Management Review, 2, 37-50. https://upright.pub/index.php/tmr/article/view/118

Mallipeddi, S. R., Lushbough, C. M., & Gnimpieba, E. Z. (2014). Reference Integrator: a workflow for similarity driven multi-sources publication merging. The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp). https://www.proquest.com/docview/1648971371

Mouapi, A., Hakem, N. (2018). A New Approach to Design Autonomous Wireless Sensor Node Based on RF Energy Harvesting System. Sensors, 18(1), 133. https://doi.org/10.3390/s18010133 DOI: https://doi.org/10.3390/s18010133

Pop-Vadean, A., Pop, P. P., Latinovic, T., Barz, C., Lung, C. (2017). Harvesting Energy an Sustainable Power Source, Replace Batteries for Powering WSN and Devices on the IoT. IOP Conference Series. Materials Science and Engineering, 200(1). https://doi.org/10.1088/1757-899X/200/1/012043 DOI: https://doi.org/10.1088/1757-899X/200/1/012043

Rashid, A., Khan, F., Gul, T., Fakhr-e-Alam., Ali, S. (2018). Improving Energy Conservation in Wireless Sensor Network Using Energy Harvesting System. International Journal of Advanced Computer Science and Applications, 9(1). https://doi.org/10.14569/IJACSA.2018.090149 DOI: https://doi.org/10.14569/IJACSA.2018.090149

Sharma, H., Haque, A., Jaffery, Z. A. (2018). Modeling and Optimisation of a Solar Energy Harvesting System for Wireless Sensor Network Nodes. Journal of Sensor and Actuator Networks, 7(3). https://doi.org/10.3390/jsan7030040 DOI: https://doi.org/10.3390/jsan7030040

Stevenson-Jones, R., Benyezzar, M., Scully, P. (2014). Optimisation of Solar Power Intake for Wireless Sensor Networks at Temperate Latitudes. International Journal on Smart Sensing and Intelligent Systems, 7(5), 1-5. https://doi.org/10.21307/ijssis-2019-089 DOI: https://doi.org/10.21307/ijssis-2019-089

Surarapu, P. (2016). Emerging Trends in Smart Grid Technologies: An Overview of Future Power Systems. International Journal of Reciprocal Symmetry and Theoretical Physics, 3, 17-24. https://upright.pub/index.php/ijrstp/article/view/114

Surarapu, P. (2017). Security Matters: Safeguarding Java Applications in an Era of Increasing Cyber Threats. Asian Journal of Applied Science and Engineering, 6(1), 169–176. https://doi.org/10.18034/ajase.v6i1.82 DOI: https://doi.org/10.18034/ajase.v6i1.82

Surarapu, P., & Mahadasa, R. (2017). Enhancing Web Development through the Utilization of Cutting-Edge HTML5. Technology & Management Review, 2, 25-36. https://upright.pub/index.php/tmr/article/view/115

Surarapu, P., Mahadasa, R., & Dekkati, S. (2018). Examination of Nascent Technologies in E-Accounting: A Study on the Prospective Trajectory of Accounting. Asian Accounting and Auditing Advancement, 9(1), 89–100. https://4ajournal.com/article/view/83

Tang, W., Zhang, K., Jiang, D. (2018). Physarum-inspired Routing Protocol for Energy Harvesting Wireless Sensor Networks. Telecommunication Systems, 67(4), 745-762. https://doi.org/10.1007/s11235-017-0362-8 DOI: https://doi.org/10.1007/s11235-017-0362-8

Tuli, F. A., Varghese, A., & Ande, J. R. P. K. (2018). Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments. Global Disclosure of Economics and Business, 7(2), 109-122. https://doi.org/10.18034/gdeb.v7i2.724 DOI: https://doi.org/10.18034/gdeb.v7i2.724

Vadiyala, V. R. (2017). Essential Pillars of Software Engineering: A Comprehensive Exploration of Fundamental Concepts. ABC Research Alert, 5(3), 56–66. https://doi.org/10.18034/ra.v5i3.655 DOI: https://doi.org/10.18034/ra.v5i3.655

Vadiyala, V. R. (2019). Innovative Frameworks for Next-Generation Cybersecurity: Enhancing Digital Protection Strategies. Technology & Management Review, 4, 8-22. https://upright.pub/index.php/tmr/article/view/117

Vadiyala, V. R., & Baddam, P. R. (2017). Mastering JavaScript’s Full Potential to Become a Web Development Giant. Technology & Management Review, 2, 13-24. https://upright.pub/index.php/tmr/article/view/108

Vadiyala, V. R., & Baddam, P. R. (2018). Exploring the Symbiosis: Dynamic Programming and its Relationship with Data Structures. Asian Journal of Applied Science and Engineering, 7(1), 101–112. https://doi.org/10.18034/ajase.v7i1.81 DOI: https://doi.org/10.18034/ajase.v7i1.81

Vadiyala, V. R., Baddam, P. R., & Kaluvakuri, S. (2016). Demystifying Google Cloud: A Comprehensive Review of Cloud Computing Services. Asian Journal of Applied Science and Engineering, 5(1), 207–218. https://doi.org/10.18034/ajase.v5i1.80 DOI: https://doi.org/10.18034/ajase.v5i1.80

Yerram, S. R., & Varghese, A. (2018). Entrepreneurial Innovation and Export Diversification: Strategies for India’s Global Trade Expansion. American Journal of Trade and Policy, 5(3), 151–160. https://doi.org/10.18034/ajtp.v5i3.692 DOI: https://doi.org/10.18034/ajtp.v5i3.692

Zhang, X., Yao, G., Ding, Y., Hao, K. (2017). An Improved Immune System-inspired Routing Recovery Scheme for Energy Harvesting Wireless Sensor Networks. Soft Computing, 21(20), 5893-5904. https://doi.org/10.1007/s00500-016-2222-y DOI: https://doi.org/10.1007/s00500-016-2222-y