Trio: enabling sustainable and scalable outdoor wireless sensor network deployments

Dutta,; *, Hui; Jeong, Jeong; Kim, Ki Wook; Sharp, Helen; Taneja,; Tolle,; Whitehouse,; Culler,

doi:10.1109/ipsn.2006.243880

Cited by 116 publications

(135 citation statements)

References 16 publications

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“…For example, in [3], solar-powered sensor nodes are used to evaluate robust multi-target tracking algorithms. Other solar-powered sensor network test beds are illustrated in [4] and [5]. The power harvesting devices provides very good solution [6] for this problem.…”

Section: Design Of Energy Harvesting Sensor Nodementioning

confidence: 99%

Cross Layered MAC Design for RF Energy Harvesting Sensor Network

Sasikala¹,

Kumar²

2016

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The main research objective in wireless sensor networks (WSN) domain is to develop algorithms and protocols to ensure minimal energy consumption with maximum network lifetime. In this paper, we propose a novel design for energy harvesting sensor node and cross-layered MAC protocol using three adjacent layers (Physical, MAC and Network) to economize energy for WSN. The basic idea behind our protocol is to re-energize the neighboring nodes using the radio frequency (RF) energy transmitted by the active nodes. This can be achieved by designing new energy harvesting sensor node and redesigning the MAC protocol. The results show that the proposed cross layer CL_EHSN improves the life time of the WSN by 40%.

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Section: Design Of Energy Harvesting Sensor Nodementioning

confidence: 99%

Cross Layered MAC Design for RF Energy Harvesting Sensor Network

Sasikala¹,

Kumar²

2016

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“…If this fails (or is not available) then the second action is to fall back to a maintenance image (e.g. Golden Image [10]). This needs a high level of reliability, and must provide at a minimum support for downloading and activating software updates.…”

Section: Recovery Actionmentioning

confidence: 99%

Software Update Recovery for Wireless Sensor Networks

Brown

Sreenan

2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Updating software over the network is important for Wireless Sensor Networks in support of scale, remote deployment, feature upgrades, and fixes. The risk of a fault in the updated code causing system failure is a serious problem. In this paper, we identify a single, critical, symptom loss-of-control, that complements exception-based schemes, and supports failsafe recovery from faults in software updates. We present a new software update recovery mechanism that uses loss-ofcontrol to provide high-reliability, low energy, software updates, including a comparison of optimised-flooding against spanning-tree for determining loss-of-control in a multi-path environment. The solution presented supports a trial phase (with lower latency), and an operational phase (with lower energy). The energy/latency tradeoff of this is shown, and the high-reliability of this update recovery is demonstrated by analysis and simulation. The results presented control the risk in existing WSN software update mechanisms.

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“…The next three wireless sensor platforms with energy scavenging technology, namely Heliomote [3], Prometheus [4] and Trio [5], contain off-the-shelf modules Mica2 [9] for the first one, and Telos [7] for Prometheus and Trio. In contrast to VIBES, Heliomote has solely NiMH rechargeable batteries as energy buffer.…”

Section: Wireless Sensor Platforms With Energy Scavenging Technologymentioning

confidence: 99%

“…However, the availability of heterogeneous WSN platforms has resulted in a problem of inflexibility: it is difficult to exploit a wireless sensor node and a harvesting component together. Basically, WSN platforms are being developed for particular cases [3,5] or have already been integrated with a harvesting component [2].…”

Section: Introductionmentioning

confidence: 99%

A Self-powered Module with Localization and Tracking System for Paintball

Somov

Sachidananda

2008

Self-Organizing Systems

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Abstract. In spite of the popularity of wireless sensor networks (WSN), their application scenarios are still scanty. In this paper we apply the WSN paradigm to the entertainment area, and in particular to the domain of Paintball. This niche scenario poses challenges in terms of player localization and wireless sensor node lifetime. The main goal of localization in this context is to locate and track the player in order to facilitate his/her orientation, and to increase the level of safety. Long term operation could be achieved by adopting appropriate hardware components, such as storage elements, harvesting component, and a novel circuit solution. In this work we present a decentralized localization and tracking system for Paintball and describe the current status of the development of a self-powered module to be used between a wireless node and an energy harvesting component.

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Trio: enabling sustainable and scalable outdoor wireless sensor network deployments

Cited by 116 publications

References 16 publications

Cross Layered MAC Design for RF Energy Harvesting Sensor Network

Cross Layered MAC Design for RF Energy Harvesting Sensor Network

Software Update Recovery for Wireless Sensor Networks

A Self-powered Module with Localization and Tracking System for Paintball

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