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ENSsys '15: Proceedings of the 3rd International Workshop on Energy Harvesting & Energy Neutral Sensing Systems
ACM2015 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SenSys '15: The 13th ACM Conference on Embedded Network Sensor Systems Seoul South Korea 1 November 2015
ISBN:
978-1-4503-3837-0
Published:
01 November 2015

Bibliometrics
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Abstract

It is our pleasure to welcome you to the 3rd International Workshop on Energy Harvesting and Energy Neutral Sensing Systems -- ENSsys'15, co-located with ACM SenSys. This year marks the third year in which ENSsys has run, having had previous instalments in Rome (Italy) and Memphis (USA). For 2015, ENSsys makes its first visit to Asia and is held in Seoul, South Korea on 1st November 2015.

ENSsys reflects the growing interest and research activity worldwide that energy-aware and energy harvesting sensing systems are attracting. Complementing the topics of ACM SenSys, ENSsys brings together international researchers to explore the challenges, issues, and opportunities in the research, design, and engineering of energy-harvesting and energy-neutral sensing systems. These are a technological cornerstone for future applications in smart energy, future transportation, environmental monitoring, and smart cities.

The call for papers attracted submissions from Asia, Australia, and Europe. All papers that were submitted received at least three reviews from experts in the area, and were evaluated for relevance, novelty, technical contribution, and presentation. An online TPC meeting was held to discuss all of the reviews, and decide upon the final technical programme. Five excellent full papers were finally selected for presentation at ENSsys (63% acceptance rate). In addition, three posters will be presented in an interactive discussion session.

Complementing the technical programme, the workshop will start with a keynote talk by Jacob Sorber from Clemson University entitled "Batteries Not Included: Moving Toward Long-Term Sustainable Sensing."

Delivering the ENSsys workshop is a significant undertaking, and could not have been achieved without the help of many people. First and foremost, we would like to thank all of the authors who submitted contributions to ENSsys, and the members of the Technical Programme Committee for their excellent and timely work reviewing submissions and helping to put together an excellent technical programme. We would also like to thank our Organising Committee and the Publicity Chairs -- Dong Kun Noh, Brad Campbell and Alex Weddell -- for their assistance in promoting ENSsys and soliciting good quality submissions.

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SESSION: Keynote Address
invited-talk
Free
Batteries Not Included: Moving Toward Long-Term Sustainable Sensing

As a research community, we are always trying to create smaller, cheaper, more mobile, longer-lived sensing devices, to help us collect data that is difficult to collect, while staying within budget. By consuming less energy and supplementing energy ...

SESSION: Session 1: Energy Management and Efficiency
research-article
Approaches to Transient Computing for Energy Harvesting Systems: A Quantitative Evaluation

Systems operating from harvested sources typically integrate batteries or supercapacitors to smooth out rapid changes in harvester output. However, such energy storage devices require time for charging and increase the size, mass and cost of the system. ...

research-article
Delay Tolerant Routing Protocols for Energy-Neutral Animal Tracking

This paper investigates communication protocols for relaying sensor data from animal tracking applications back to base stations. While Delay Tolerant Networks (DTNs) are well suited to such challenging environments, most existing protocols do not ...

SESSION: Session 2: Energy Harvesting: Experimentation, Modeling, and Development Support
research-article
Photovoltaic Cells for Micro-Scale Wireless Sensor Nodes: Measurement and Modeling to Assist System Design

Energy harvesting enables perpetual operation of wireless sensor nodes by scavenging energy from the environment. Light energy harvesting using photovoltaic (PV) cells is preferred as they offer the highest volumetric power output allowing nodes to be ...

research-article
ASIM: Solar Energy Availability Model for Wireless Sensor Networks

Solar irradiance prediction is a major issue in energy harvesting enabled WSNs. In this paper, we use Markov chains of increasing order to propose a new model - referred to as ASIM - for predicting solar irradiance patterns. Cornerstone of the proposed ...

research-article
Enspect: A Complete Tool using Modeling and Real Data to Assist the Design of Energy Harvesting Systems

Energy harvesting is the process by which energy (often solar or thermal) is captured from the environment to power small electronic devices. The available energy is often spatially and temporally variant, which makes the potential for power generation ...

POSTER SESSION: Session 3: Poster Papers and Discussion
poster
An Energy-Efficient Transmission Strategy in Integrated HAP/Satellite Wireless Sensor Networks

An investigation into the energy-efficient transmission strategies and Integrated High altitude platform/Satellite (IHS) architecture in wireless sensor networks is presented. In a slow flat Rician fading, an innovative adaptive algorithm for the energy-...

poster
Accurate Indoor localization with Channel State Information

Device-free localization(DFL) is an emerging technology to detect whether there exists any target(s) in the area of interests without carrying any device to them. It is an essential primitive for a large-scale range of application including intrusion ...

poster
Low-cost Device-Free Localization using Detection Probability Model in Outdoors

Wireless localization technology has become more and more important in our life. Many applications would benefit from such device-free localization, e.g. intruder detection, privacy-enhanced monitoring, etc. This paper presents a system, named Pilm, for ...

Contributors
  • University of Southampton
  • Hamburg University of Technology
  • University of Trento

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Acceptance Rates

Overall Acceptance Rate12of20submissions,60%
YearSubmittedAcceptedRate
ENSSys '13201260%
Overall201260%