Remotely Powered Underwater Acoustic Sensor Networks

Bereketli, Alper
Bilgen, Semih
The remotely powered underwater acoustic sensor networks (RPUASN) paradigm is introduced, whereby sensor nodes harvest and store the power supplied by an external acoustic source, indefinitely extending their lifetime. Necessary source characteristics are determined. Feasibility is illustrated with realistic examples, and open research issues are pointed out. Performance of RPUASN is directly related to the sensing coverage and communication connectivity over the field the sensor nodes are deployed. The required number of RPUASN nodes and the volume which is guaranteed to be covered by the nodes are analyzed in terms of electrical power, range, directivity, and transmission frequency of the external acoustic source, and node power requirements.


Remotely powered underwater acoustic sensor networks
Bereketli, Alper; Bilgen, Semih; Department of Electrical and Electronics Engineering (2013)
The lifetime of underwater acoustic sensor networks (UASN) is constrained primarily by the power available to the battery-operated sensor nodes. Therefore, power efficiency has become a major design goal for UASN solutions thus far. To eliminate this challenge on the design of UASN, power harvesting is a promising solution, in which Remotely Powered UASN (RPUASN) nodes harvest and store the power available from a powerful external underwater acoustic source. In this study, the novel RPUASN paradigm is intro...
Towards a Vibration Energy Harvesting WSN Demonstration Testbed
Baghaee, S.; Ulusan, H.; Chamanian, S.; Zorlu, O.; Külah, Haluk; Uysal-Biyikoglu, E. (2013-09-25)
This paper presents initial results toward the implementation of a wireless sensor network (WSN) demonstration testbed powered up by vibration energy, as part of the E-CROPS project. The testbed uses MicaZ Motes, supplied by AA batteries. The power drawn by Motes in different modes of operation are measured. Design details of an electromagnetic harvester, and experimental results of charging AA batteries with this harvester at 10 Hz vibration generated in the laboratory, are presented.
Topology control vector based forwarding algorithm for underwater acoustic networks
Yazgı, İlkay; Baykal, Buyurman; Department of Electrical and Electronics Engineering (2015)
The communication range of underwater acoustic sensor networks (UASN) is limited by the underwater environment. Acoustic networks with huge number of sensors may have long communication range with appropriate protocols in literature. On the other hand, especially, the networks including small number of nodes have communication problems for long ranges. To challenge this problem, topology control in underwater acoustic networks is a promising solution. In this study, a novel approach, Topology Control Vector...
An Electromagnetic Sensing System Incorporating Multiple Probes and Single Antenna for Wireless Structural Health Monitoring
Ozbey, Burak; ALTINTAŞ, AYHAN; DEMİR, Hilmi Volkan; ERTÜRK, VAKUR BEHÇET; Kurç, Özgür (2017-03-24)
In this study, a wireless and passive displacement/strain sensing system is proposed for structural health monitoring (SHM). The wireless and passive interrogation of the sensing unit [a variant of a nested split-ring resonator (NSRR)] is achieved through the near-field interaction and electromagnetic coupling between the single antenna in the system and the multiple sensors called the NSRR probes. It is demonstrated that the system can acquire data from more than one NSRR probe simultaneously in a real-lif...
Multi target tracking with acoustic power measurements using emitted power density
Orguner, Umut (null; 2010-07-29)
This paper presents a method to achieve multi target tracking using acoustic power measurements obtained from an acoustic sensor network. We first present a novel concept called emitted power density (EPD) which is an aggregate information state that holds the emitted power distribution of all targets in the scene over the target state space. It is possible to find prediction and measurement update formulas for an EPD which is conceptually similar to a probability hypothesis density (PHD). We propose a Gaus...
Citation Formats
A. Bereketli and S. Bilgen, “Remotely Powered Underwater Acoustic Sensor Networks,” IEEE SENSORS JOURNAL, pp. 3467–3472, 2012, Accessed: 00, 2020. [Online]. Available: