Steam-powered sensing

Zhang, Chengjie; Syed, Affan A.; Cho, Young; Heidemann, John

doi:10.1145/2070942.2070964

Cited by 14 publications

(7 citation statements)

References 24 publications

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“…Due to the heavily limited energy supply, the latter system adopts an extremely low power wake up strategy: a node wakes up only upon a water flow event that supplies it with sufficient energy. Our work goes close to [28,37] in that we all deliver an integrated sensing system that draws energy from the sensing objects, but Trinity differs from these existing proposals by positioning itself as an indoor sensing system, and it indeed faces great challenges very different from those in [28,37]. While the energy that can be harvested by Trinity is far lower than that from steam pipelines [37], Trinity has to constantly monitor the environment instead of being triggered only by events [28].…”

Section: Related Work and Discussionsupporting

confidence: 81%

“…As the WSNs are usually applied to monitor surrounding environment, a natural choice is to extract ambient energy, e.g., solar [17,26,38], vibration [34], heat [28,37], and radio [29].…”

Section: Related Work and Discussionmentioning

confidence: 99%

“…Temperature difference of the steam pipeline is used to produce power up to 0.8W [37], and the thermoelectric harvester is again used in [28] to harness the small temperature difference in water. Due to the heavily limited energy supply, the latter system adopts an extremely low power wake up strategy: a node wakes up only upon a water flow event that supplies it with sufficient energy.…”

Section: Related Work and Discussionmentioning

confidence: 99%

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Powering indoor sensing with airflows

Feng

Xiang

Chi

et al. 2013

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

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Whereas a lot of efforts have been put on energy conservation in wireless sensor networks, the limited lifetime of these systems still hampers their practical deployments. This situation is further exacerbated indoors, as conventional energy harvesting (e.g., solar) ceases to work. To enable longlived indoor sensing, we report in this paper a self-sustaining sensing system that draws energy from indoor environments, adapts its duty-cycle to the harvested energy, and pays back the environment by enhancing the awareness of the indoor microclimate through an "energy-free" sensing.First of all, given the pervasive operation of heating, ventilation and air conditioning (HVAC) systems indoors, our system harvests energy from airflow introduced by the HVAC systems to power each sensor node. Secondly, as the harvested power is tiny (only of hundreds of µW), an extremely low but synchronous duty-cycle has to be applied whereas the system gets no energy surplus to support existing synchronization schemes. So we design two complementary synchronization schemes that cost virtually no energy. Finally, we exploit the feature of our harvester to sense the airflow speed (which can be used to infer the indoor microclimate) in an energy-free manner. To our knowledge, this is the first indoor wireless sensing system that encapsulates energy harvesting, network operating, and sensing all together.

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Section: Related Work and Discussionsupporting

confidence: 81%

“…As the WSNs are usually applied to monitor surrounding environment, a natural choice is to extract ambient energy, e.g., solar [17,26,38], vibration [34], heat [28,37], and radio [29].…”

Section: Related Work and Discussionmentioning

confidence: 99%

Section: Related Work and Discussionmentioning

confidence: 99%

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Powering indoor sensing with airflows

Feng

Xiang

Chi

et al. 2013

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

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“…References [108,148] developed self-powered WUSN underground nodes, which harvest energy from the environment. Similarly, an underground health monitoring system for oil, gas and water pipes generates energy by leveraging thermal sources such as hot water and steam [149,150].…”

Section: Thermal Energy Sourcesmentioning

confidence: 99%

On-Site and External Energy Harvesting in Underground Wireless

Raza

Salam

2020

Electronics

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Energy efficiency is vital for uninterrupted long-term operation of wireless underground communication nodes in the field of decision agriculture. In this paper, energy harvesting and wireless power transfer techniques are discussed with applications in underground wireless communications (UWC). Various external wireless power transfer techniques are explored. Moreover, key energy harvesting technologies are presented that utilize available energy sources in the field such as vibration, solar, and wind. In this regard, the Electromagnetic (EM)- and Magnetic Induction (MI)-based approaches are explained. Furthermore, the vibration-based energy harvesting models are reviewed as well. These energy harvesting approaches lead to design of an efficient wireless underground communication system to power underground nodes for prolonged field operation in decision agriculture.

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“…This makes WSNs a good option for many environment monitoring applications [44,70,115], and, more specifically, for hazardous environments, such as monitoring active volcanos for early indications of outbreaks [122]. In industry, WSNs are widely used in structural monitoring (e.g., bridge vibration monitoring [69], and pipe blockage in oilfields [133]), and emergency detection in building [132]. In health care, WSNs have potential applications, where patients wear clothes equipped with sensor nodes to monitor vital signs [34], and, more specifically, sensor nodes are used to detect seizures in epilepsy patients [77].…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Constraint programming for wireless sensor networks

Bijarbooneh

2015

Constraints

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In recent years, wireless sensor networks (WSNs) have grown rapidly and have had a substantial impact in many applications. A WSN is a network that consists of interconnected autonomous nodes that monitor physical and environmental conditions, such as temperature, humidity, pollution, etc. If required, nodes in a WSN can perform actions to affect the environment.WSNs present an interesting and challenging field of research due to the distributed nature of the network and the limited resources of the nodes. It is necessary for a node in a WSN to be small to enable easy deployment in an environment and consume as little energy as possible to prolong its battery lifetime. There are many challenges in WSNs, such as programming a large number of nodes, designing communication protocols, achieving energy efficiency, respecting limited bandwidth, and operating with limited memory. WSNs are further constrained due to the deployment of the nodes in indoor and outdoor environments and obstacles in the environment.In this dissertation, we study some of the fundamental optimisation problems related to the programming, coverage, mobility, data collection, and data loss of WSNs, modelled as standalone optimisation problems or as optimisation problems integrated with protocol design. Our proposed solution methods come from various fields of research including constraint programming, integer linear programming, heuristic-based algorithms, and data inference techniques. I would like to say many thanks to Roland Bol and Ivan Christoff for accepting me to MSc studies at Uppsala University, which led to this PhD. Your decision brought me on a very long and joyful journey: without it, I would not have been here today. KeywordsI had the special opportunity to see the ASTRA group on constraint programming grow larger with new PhD students and post-doc fellows throughout my PhD. I enjoyed working at the ASTRA group. Especially my appreciation goes to Jun He, Joseph Scott, Maria Andreina Francisco Rodriguez, and JeanNoël Monette, who always supported me with their thoughts and constructive discussions, and have been great friends for me. I have also always looked forward to your seminars with delicious cakes and cookies. Many thanks to Prof. Christian Schulte, Guido Tack, Mats Carlsson for their discussions and many constructive comments during my seminars and on my publications.I would like to specially thank all members of my PhD parent project (ProFuN). Thank you for your constructive suggestions and discussions during the seminars.I have made many wonderful friends during my PhD, friends who always stood by my side and supported me. There are many names to mention and I wish I could name everyone here, but I believe you know who you are and you know how much I appreciate your precious friendship. Thank you so much for being my friends and helping me to improve. There has been a very difficult time during my PhD when my cat Niuniu had an extremely harsh accident. I must specifically thank Edith Ngai, Palle Raabjerg, Ryoko Asai, and V...

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Steam-powered sensing

Cited by 14 publications

References 24 publications

Powering indoor sensing with airflows

Powering indoor sensing with airflows

On-Site and External Energy Harvesting in Underground Wireless

Constraint programming for wireless sensor networks

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