Software-based on-line energy estimation for sensor nodes

Dunkels, Adam; Österlind, Fredrik; Tsiftes, Nicolas; He, Zhitao

doi:10.1145/1278972.1278979

Cited by 289 publications

(182 citation statements)

References 14 publications

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“…Nevertheless, we have observed that Contiki's software-based online energy estimation [2] reports approximately 14 % increased transmit energy consumption when using our approach. This is caused by the fact that by default, the estimation mechanism only counts frames that are sent in software.…”

Section: F Power Consumptionmentioning

confidence: 80%

Piggy-Backing Link Quality Measurements to IEEE 802.15.4 Acknowledgements

Pöttner

Schildt

Meyer

et al. 2011

2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems

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Abstract-In this paper we present an approach to piggy back link quality measurements to IEEE 802.15.4 acknowledgement frames by generating acknowledgements in software instead of relying on hardware support. We show that the software ACKs can be sent meeting the timing constraints in IEEE 802.15.4. This allows for a standard conforming, energy neutral dissemination of link quality related information in IEEE 802.15.4 networks. This information is available at no cost when transmitting data and can be used as input for various schemes for adaptive transmission power control and to assess the current channel quality.

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Section: F Power Consumptionmentioning

confidence: 80%

Piggy-Backing Link Quality Measurements to IEEE 802.15.4 Acknowledgements

Pöttner

Schildt

Meyer

et al. 2011

2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems

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“…It can be considered as an indicator of power consumption and describes the energy efficiency of the protocol. We measure radio-on time by using the software-based energy profiler [16] provided by Contiki.…”

Section: Metricsmentioning

confidence: 99%

Bandit Learning with Concurrent Transmissions for Energy-Efficient Flooding in Sensor Networks

Zhang¹,

Gao²,

Theel³

2018

EAI Endorsed Transactions on Industrial Networks and Intelligen

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Concurrent transmissions, a novel communication paradigm, has been shown to effectively accomplish a reliable and energy-efficient flooding in low-power wireless networks. With multiple nodes exploiting a receive-and-forward scheme in the network, this technique inevitably introduces communication redundancy and consequently raises the energy consumption of the nodes. In this article, we propose Less is More (LiM), an energy-efficient flooding protocol for wireless sensor networks. LiM builds on concurrent transmissions, exploiting constructive interference and the capture effect to achieve high reliability and low latency. Moreover, LiM is equipped with a machine learning capability to progressively reduce redundancy while maintaining high reliability. As a result, LiM is able to significantly reduce the radio-on time and therefore the energy consumption. We compare LiM with our baseline protocol Glossy by extensive experiments in the 30-node testbed FlockLab. Experimental results show that LiM highly reduces the broadcast redundancy in flooding. It outperforms the baseline protocol in terms of radio-on time, while attaining a high reliability of over 99.50% and an average end-to-end latency around 2 milliseconds in all experimental scenarios.

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“…Through the facilities provided by Contiki's energy consumption estimation module, (Energest [9]), we measured the time each node spent in different power consumption states (MCU active; RF listening / receiving, RF transmitting). Since we are simulating Texas Instruments MSP430F5438 experimenter board nodes, we converted these time values to estimated energy consumption based on typical datasheet power consumption levels at an operating voltage of 3.0V .…”

Section: Energy Consumptionmentioning

confidence: 99%

BMFA: Bi-Directional Multicast Forwarding Algorithm for RPL-based 6LoWPANs

Papadopoulos

Georgallides

Tryfonas

et al. 2017

Interoperability, Safety and Security in IoT

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Abstract. In scenarios involving point-to-multipoint network traffic, transmitting to each destination individually with unicast may lead to poor utilisation of network bandwidth, excessive energy consumption caused by the high number of packets and suffers from low scalability as the number of destinations increases. An alternative approach, would be to use network-layer multicast, where packets are transmitted to multiple destinations simultaneously. In doing so, applications adopting a one-tomany communication paradigm may improve their energy efficiency and bandwidth utilisation. In this paper, we present Bi-directional Multicast Forwarding Algorithm (BMFA), a novel RPL-based multicast forwarding mechanism. BMFA improves its pre-predecessor SMRF in that it allows multicast traffic to travel both upwards as well as downwards in an RPL tree. At the same time, it retains SMRF's low latency and very low energy consumption characteristics. Our performance evaluation results, conducted using the Contiki operating system, show that BMFA outperforms its rival Trickle Multicast / Multicast Protocol for Low power and Lossy Networks (TM / MPL), in terms of reducing both delay and energy consumption.

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Software-based on-line energy estimation for sensor nodes

Cited by 289 publications

References 14 publications

Piggy-Backing Link Quality Measurements to IEEE 802.15.4 Acknowledgements

Piggy-Backing Link Quality Measurements to IEEE 802.15.4 Acknowledgements

Bandit Learning with Concurrent Transmissions for Energy-Efficient Flooding in Sensor Networks

BMFA: Bi-Directional Multicast Forwarding Algorithm for RPL-based 6LoWPANs

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