Resource Allocation Challenges and Strategies for RF-Energy Harvesting Networks Supporting QoS

Main Article Content

Harshada B. Magar
Pramod Sharma
Archana S. Ubale
Sandhya O. Ahire
Vineeta Philip


This paper specifically addresses the resource allocation challenges encountered in wireless sensor networks that incorporate RF energy harvesting capabilities, commonly referred to as RF-energy harvesting networks (RF-EHNs). RF energy harvesting and transmission techniques bring substantial advantages for applications requiring Quality of Service (QoS) support, as they enable proactive replenishment of  wireless devices. We commence by providing an overview of RF-EHNs, followed by an in-depth examination of the resource allocation challenges associated with this technology. In addition, we present a case study that focuses on the design of an efficient operating strategy for RF-EHN receivers. Our investigation highlights the critical aspects of service differentiation and QoS support, which have received limited attention in previous research. Besides, we explore previously unexplored areas within these domains.

Article Details

How to Cite
Magar, H. B. ., Sharma, P. ., Ubale, A. S. ., Ahire, S. O. ., & Philip, V. . (2023). Resource Allocation Challenges and Strategies for RF-Energy Harvesting Networks Supporting QoS. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7s), 184–194.


Kim, Sangkil, Rushi Vyas, Jo Bito, Kyriaki Niotaki, Ana Collado, Apostolos T. Georgiadis and Manos M. Tentzeris. “Ambient RF Energy-Harvesting Technologies for Self-Sustainable Standalone Wireless Sensor Platforms.” Proceedings of the IEEE 102 (2014): 1649-1666.

Azarhava, Hosein and Javad Musevi Niya. “Energy Efficient Resource Allocation in Wireless Energy Harvesting Sensor Networks.” IEEE Wireless Communications Letters9 (2020): 1000-1003.

Mrs. Monika Soni. (2015). Design and Analysis of Single Ended Low Noise Amplifier. International Journal of New Practices in Management and Engineering, 4(01), 01 - 06. Retrieved from

Xu, Yihan, Jing-Wei Xie, Yang-Gang Zhang, Min Hua and Wen Zhou. “Reinforcement Learning (RL)-Based Energy Efficient Resource Allocation for Energy Harvesting-Powered Wireless Body Area Network.” Sensors (Basel, Switzerland) 20 (2019).

Chung, Byung Chang, Kisong Lee and Dong-Ho Cho. “Proportional Fair Energy-Efficient Resource Allocation in Energy-Harvesting-Based Wireless Networks.” IEEE Systems Journal12 (2018): 2106-2116.

Waheeb , M. Q. ., SANGEETHA, D., & Raj , R. . (2021). Detection of Various Plant Disease Stages and Its Prevention Method Based on Deep Learning Technique. Research Journal of Computer Systems and Engineering, 2(2), 33:37. Retrieved from

Liu, Zhiqiang, Bin Liu and Chang Wen Chen. “Joint Power-Rate-Slot Resource Allocation in Energy Harvesting-Powered Wireless Body Area Networks.” IEEE Transactions on Vehicular Technology67 (2018): 12152-12164.

Moore, B., Clark, R., Muñoz, S., Rodríguez, D., & López, L. Automated Grading Systems in Engineering Education: A Machine Learning Approach. Kuwait Journal of Machine Learning, 1(2). Retrieved from

Zhou, Zhenyu, Chuntian Zhang, Jingwen Wang, Bo Gu, Shahid Mumtaz, Jonathan Rodriguez and Xiongwen Zhao. “Energy-Efficient Resource Allocation for Energy Harvesting-Based Cognitive Machine-to-Machine Communications.” IEEE Transactions on Cognitive Communications and Networking5 (2019): 595-607.

Zhao, Yisheng, Victor C. M. Leung, Chunsheng Zhu, Hui Gao, Zhonghui Chen and Hong Ji. “Energy-Efficient Sub-Carrier and Power Allocation in Cloud-Based Cellular Network with Ambient RF Energy Harvesting.” IEEE Access5 (2017): 1340-1352.

Perera, Tharindu D. Ponnimbaduge and Dushantha Nalin K. Jayakody. “Analysis of time-switching and power-splitting protocols in wireless-powered cooperative communication system.” Phys. Commun.31 (2018): 141-151.

Al-Tous, Hanan and Imad Barhumi. “Differential Game for Resource Allocation in Energy Harvesting Wireless Sensor Networks.” IEEE Transactions on Green Communications and Networking4 (2020): 1165-1173.

Balanis, C.A. Antenna Theory: Analysis and Design, 2nd ed. New York, USA: Wiley. (1982).

Deng, Xiaoheng, Peiyuan Guan, Cong Hei, Feng Li, Jianqing Liu and Naixue N. Xiong. “An Intelligent Resource Allocation Scheme in Energy Harvesting Cognitive Wireless Sensor Networks.” IEEE Transactions on Network Science and Engineering8 (2021): 1900-1912.

Moltafet, Mohammad, Paeiz Azmi, Nader Mokari, Mohammad Reza Javan and Ali A. Mokdad. “Optimal and Fair Energy Efficient Resource Allocation for Energy Harvesting-Enabled-PD-NOMA-Based HetNets.” IEEE Transactions on Wireless Communications17 (2018): 2054-2067.

Xu, Chi, Chunhe Song, Peng Zeng and Haibin Yu. “Secure resource allocation for energy harvesting cognitive radio sensor networks without and with cooperative jamming.” Comput. Networks141 (2018): 189-198.

Shahini, Ali, Abbas Kiani and Nirwan Ansari. “Energy Efficient Resource Allocation in EH-Enabled CR Networks for IoT.” IEEE Internet of Things Journal6 (2018): 3186-3193.

Nishimoto, Hiroshi, Yoshihiro Kawahara and Tohru Asami. “Prototype implementation of ambient RF energy harvesting wireless sensor networks.” 2010 IEEE Sensors (2010): 1282-1287.

Zhang, Xiaoyu, Hanjun Jiang, Lingwei Zhang, Chun Zhang, Zhihua Wang and Xinkai Chen. “An Energy-Efficient ASIC for Wireless Body Sensor Networks in Medical Applications.” IEEE Transactions on Biomedical Circuits and Systems4 (2010): 11-18.

Zou, Zhiqiang, Ze-ting Li, Shu Shen and Ru-chuan Wang. “Energy-Efficient Data Recovery via Greedy Algorithm for Wireless Sensor Networks.” International Journal of Distributed Sensor Networks12 (2016).

Nasir, Ali Arshad, Xiangyun Zhou, Salman Durrani and Rodney A. Kennedy. “Relaying Protocols for Wireless Energy Harvesting and Information Processing.” IEEE Transactions on Wireless Communications12 (2012): 3622-3636.

Niyato, Dusit Tao, Ping Wang, Wai-Leong Yeow and Hwee Pink Tan. “QoS-aware data transmission and wireless energy transfer: Performance modeling and optimization.” 2014 IEEE Wireless Communications and Networking Conference (WCNC) (2014): 3100-3105.

Luo, Ying, Peilin Hong, Ruolin Su and Kaiping Xue. “Resource Allocation for Energy Harvesting-Powered D2D Communication Underlaying Cellular Networks.” IEEE Transactions on Vehicular Technology66 (2017): 10486-10498.

Shi, Qingjiang, Weiqiang Xu, Jinsong Wu, Enbin Song and Yaming Wang. “Secure Beamforming for MIMO Broadcasting with Wireless Information and Power Transfer.” IEEE Transactions on Wireless Communications14 (2014): 2841-2853.

Nguyen, Thien Duc, Jamil Yusuf Khan and Duy Trong Ngo. “An Adaptive MAC Protocol for RF Energy Harvesting Wireless Sensor Networks.” 2016 IEEE Global Communications Conference (GLOBECOM) (2016): 1-6.

Nintanavongsa, Prusayon, M. Yousof Naderi and Kaushik R. Chowdhury. “Medium access control protocol design for sensors powered by wireless energy transfer.” 2013 Proceedings IEEE INFOCOM (2013): 150-154.

Michalopoulos, Diomidis S., Himal A. Suraweera and Robert Schober. “Simultaneous information transmission and wireless energy transfer via selecting one out of two relays.” 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP) (2014): 318-321.

Rajesh Patel, Natural Language Processing for Fake News Detection and Fact-Checking , Machine Learning Applications Conference Proceedings, Vol 3 2023.

Krikidis, Ioannis. “Simultaneous Information and Energy Transfer in Large-Scale Networks with/without Relaying.” IEEE Transactions on Communications62 (2013): 900-912.

Zhang, Shenqiu and Alireza Seyedi. “Harvesting Resource Allocation in Energy Harvesting Wireless Sensor Networks.” ArXivabs/1306.4997 (2013).

Rajasekaran, S. B. . (2023). AI and Cloud Computing - How the Cloud is accelerating AI. International Journal of Intelligent Systems and Applications in Engineering, 11(1), 324–329. Retrieved from

Puterman, Martin L. “Markov Decision Processes: Discrete Stochastic Dynamic Programming.” Wiley Series in Probability and Statistics (1994).