Prototyping energy harvesting active networked tags (EnHANTs)

Gorlatova, Maria; Margolies, Robert; Sarik, John; Stanje, Gerald; Zhu, Jian‐Gang; Vigraham, Baradwaj; Szczodrak, Marcin; Carloni, Luca P.; Kinget, Peter R.; Kymissis, Ioannis; Zussman, Gil

doi:10.1109/infcom.2013.6566840

Cited by 42 publications

(39 citation statements)

References 17 publications

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“…For this purpose we use a simple method where Figure 4 shows three average power requirements for a TelosB mote-class device under different duty cycles. These lines can be viewed to signify either different application requirements or a different class of devices [27,28].…”

Section: Supported Class Of Wsn Applicationsmentioning

confidence: 99%

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Laser Based Energy Distribution Architecture for Decoupling Energy and Sensing Planes in WSN

Bhatti

Syed

Alizai

2015

International Journal of Distributed Sensor Networks

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We propose decoupling energy and sensing planes in WSN. This decoupling represents a paradigm shift as it can alleviate the fundamental problem of energy depletion in WSN and can (in theory) offer a sensor network with infinite lifetime. We present energy transference as the mode of decoupling energy by allowing energy to move between energy-rich and energy-poor nodes. We present a first practical energy distribution architecture that allows us to decouple energy supply from sensing activities. Such a separation of responsibilities enables us to utilize abundant energy sources distant from the sensing location, allowing unrestricted lifetime and resolving unequal energy consumption in WSN. We demonstrate energy transfer for practical decoupling using low-cost and low-footprint, laser -power beaming that powers current WSN platforms at 100 m of range. We design and implement LAMP, a tiered architecture to manage energy supply to both mesh and clustered WSN deployments using an energy distribution protocol. We evaluate our system to show that, for an additional cost of $29 per mote, LAMP can support perpetual mesh functionality for up to 40 sensors or 120 nodes in clustered operation.

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Section: Supported Class Of Wsn Applicationsmentioning

confidence: 99%

“…We, therefore, do not require a trade-off for lower capability platforms (like CRFID or EnHANTs [28]) which constrain the WSN applications we can support. Thus, all current WSN applications can simply focus on meeting the sensing requirements and request energy from our energy distribution system.…”

Section: Supported Class Of Wsn Applicationsmentioning

confidence: 99%

Laser Based Energy Distribution Architecture for Decoupling Energy and Sensing Planes in WSN

Bhatti

Syed

Alizai

2015

International Journal of Distributed Sensor Networks

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“…However, in many scenarios, a fixed power supply is not available, and even periodical battery replacement may not be a feasible option, for example, in large wireless sensor networks etc. In such situations, the use of energy harvesting (EH) for wireless communications appears appealing, or even essential by converting mechanical vibration into energy [11], by using solar panels [12], by utilizing thermoeletric generators [13], or by converting ambient radio power into energy [14]. EH provides a potentially infinite network operating time.…”

Section: Introduction 11 Motivationmentioning

confidence: 99%

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Phan¹,

Le‐Ngoc²

2017

SpringerBriefs in Electrical and Computer Engineering

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Wireless data transmission suffers from the fading nature of wireless channels, where the instantaneous channel conditions and hence transmission rates randomly fluctuate over time. Consequently, data arrivals at each transmitter might not be transmitted instantly. To cope with this situation, the transmitter employs buffer to store the data temporarily for later transmission. While data buffering enables more efficient radio resource allocation to opportunistically select the favorable fading conditions for transmission, it introduces queuing delay that needs to be controlled in order to meet the end-to-end delay quality-ofservice (QoS) requirements in supporting delay-sensitive communications. In this thesis, we study and develop radio resource allocation schemes for buffer-aided communications over wireless fading channels under statistical delay constraints. Using the buffering capability as a means to exploit the fading diversity, the nodes (source and relay) perform resource allocation, and adapt their transmissions to the channel state information (CSI) in order to enhance the system throughput while maintaining the statistical delay QoS requirements in terms of upper-bounded average delay or delay-outage probability.The thesis starts by considering a source-destination communications link over a fading channel with data arriving at the source transmission buffer. In the first scenario, the source is assumed to have a maximum power constraint and an average delay constraint. We consider admission control applied on random data arrivals to the source buffer in order to avoid constraint violation, and study the joint optimal data admission control and power allocation (AC-PA) problem for throughput maximization. In the second scenario, we consider an energy-harvesting (EH) source, where random amounts of energy are harvested from renewable energy sources, and stored in a battery during the course of data transmission. In every transmission time slot, the source is constrained to use at most the amount of energy currently stored. We then explore optimal power allocation problems for such EH systems under average delay or delay-outage constraints. We formulate the problems as infinite horizon constrained Markov decision process (MDP) problems, which incorporate the random variations of the fading channel, data arrival, and EH processes. A novel solution approach based on post-decision state-value function is proposed to study the properties of the optimal solutions. We also propose online allocation algorithms when the statistical knowledge of the random processes is unknown, which is typical in real-life communications. Illustrative results demonstrate the effectiveness of the proposed algorithms over existing approaches iii under similar power and delay constraints.The thesis continues with a source-relay-destination communications link over fading channels with buffers available at both source and relay, as part of a multi-hop network. We investigate and develop optimal resource allocation schemes ...

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“…Students demonstrated prototypes and the testbed at six conference demonstration sessions [11]- [16] and at over three dozen additional live on-site and offsite demonstrations. Students also contributed to publications describing the prototypes and the testbed [17], [18].To evaluate our learning activities, we conducted a survey among the students. Of the students who completed the survey, over 90% indicated that the project was rewarding and enriching, and 70% indicated that working on this project improved their ability to function on multidisciplinary teams more than any other activity in their academic career.…”

Section: Introductionmentioning

confidence: 99%

“…3: A timeline of the EnHANTs prototypes and testbed development, Phases I-VI. The milestones achieved during these phases were presented at conference demonstration sessions [11] (7 student coauthors), [12] (7 student coauthors), [14] (9 student coauthors), [13] (10 student coauthors), [15] (10 student coauthors), and [16] (8 student coauthors).…”

Section: Introductionmentioning

confidence: 99%

Project-based learning within a large-scale interdisciplinary research effort

Gorlatova

Sarik

Kinget

et al. 2013

Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education

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Abstract-The modern engineering landscape increasingly requires a range of skills to successfully integrate complex systems. Project-based learning is used to help students build professional skills. However, it is typically applied to small teams and small efforts. This paper describes an experience in engaging a large number of students in research projects within a multi-year interdisciplinary research effort. The projects expose the students to various disciplines in Computer Science (embedded systems, algorithm design, networking), Electrical Engineering (circuit design, wireless communications, hardware prototyping), and Applied Physics (thin-film battery design, solar cell fabrication). While a student project is usually focused on one discipline area, it requires interaction with at least two other areas. Over 5 years, 180 semester-long projects have been completed. The students were a diverse group of high school, undergraduate, and M.S. Computer Science, Computer Engineering, and Electrical Engineering students. Some of the approaches that were taken to facilitate student learning are real-world system development constraints, regular cross-group meetings, and extensive involvement of Ph.D. students in student mentorship and knowledge transfer. To assess the approaches, a survey was conducted among the participating students. The results demonstrate the effectiveness of the approaches. For example, 70% of the students surveyed indicated that working on their research project improved their ability to function on multidisciplinary teams more than coursework, internships, or any other activity.

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Prototyping energy harvesting active networked tags (EnHANTs)

Cited by 42 publications

References 17 publications

Laser Based Energy Distribution Architecture for Decoupling Energy and Sensing Planes in WSN

Laser Based Energy Distribution Architecture for Decoupling Energy and Sensing Planes in WSN

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Project-based learning within a large-scale interdisciplinary research effort

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