Leveraging Deliberately Generated Interferences for Multi-Sensor Wireless RF Power Transmission

Wireless RF power transmission promises battery-less, resilient, and perpetual wireless sensor networks. Through the action of controllable Energy Transmitters (ETs) that operate at-a- distance, the sensors can be re-charged by harvesting the radiated RF energy. However, both the charging rate and effective charging range of the ETs are limited, and thus multiple ETs are required to cover large areas. While this action increases the amount of wireless energy injected into the network, there are certain areas where the RF energy combines destructively. To address this problem, we propose a duty-cycled random- phase multiple access (DRAMA). Non-intuitively, our approach relies on deliberately generating random interferences, both destructive and constructive, at the destination nodes. We demonstrate that DRAMA optimizes the power conversion efficiency, and the total amount of energy harvested. Through real-testbed experiments, we prove that our proposed scheme provides significant advantages over the current state of the art in our considered scenario, as it requires up to 70% less input RF power to recharge the energy buffer of the sensor in the same time.

[1]  Prusayon Nintanavongsa,et al.  RF-MAC: A Medium Access Control Protocol for Re-Chargeable Sensor Networks Powered by Wireless Energy Harvesting , 2014, IEEE Transactions on Wireless Communications.

[2]  Prusayon Nintanavongsa,et al.  Design Optimization and Implementation for RF Energy Harvesting Circuits , 2012, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[3]  Apostolos Georgiadis,et al.  Spatial Power Combining of Multi-Sine Signals for Wireless Power Transmission Applications , 2014, IEEE Transactions on Microwave Theory and Techniques.

[4]  Ajay D. Kshemkalyani,et al.  Clock synchronization for wireless sensor networks: a survey , 2005, Ad Hoc Networks.

[5]  Marco Di Felice,et al.  Routing and Link Layer Protocol Design for Sensor Networks with Wireless Energy Transfer , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[6]  Regan Zane,et al.  Low-Power Far-Field Wireless Powering for Wireless Sensors , 2013, Proceedings of the IEEE.

[7]  Ali Abdi,et al.  On the PDF of the sum of random vectors , 2000, IEEE Trans. Commun..

[8]  Eduard Alarcón,et al.  Energy Buffer Dimensioning Through Energy-Erlangs in Spatio-Temporal-Correlated Energy-Harvesting-Enabled Wireless Sensor Networks , 2014, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[9]  Purushottam Kulkarni,et al.  Energy Harvesting Sensor Nodes: Survey and Implications , 2011, IEEE Communications Surveys & Tutorials.

[10]  K. Kalliomaki,et al.  Timing performance of various GPS receivers , 1999, Proceedings of the 1999 Joint Meeting of the European Frequency and Time Forum and the IEEE International Frequency Control Symposium (Cat. No.99CH36313).