Optimizing sensor networks in the energy-latency-density design space

Schurgers, Curt; Tsiatsis, Vlasios; Ganeriwal, Saurabh; Srivastava, Mani

doi:10.1109/tmc.2002.1011060

Cited by 558 publications

(337 citation statements)

References 12 publications

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“…This scheme has attractive energy saving possibilities, e.g. when compared to STEM approach [8], where the primary radio sends a busy tone signal and the nodes are required to listen to the primary channel all the time in anticipation of an upcoming signal. The authors devise a scheduling based method for waking-up the nodes depending upon the traffic loads.…”

Section: Related Workmentioning

confidence: 99%

Radio-triggered Wake-ups with Addressing Capabilities for Extremely Low Power Sensor Network Applications

Ansari

Pankin

Mähönen

2009

Int J Wireless Inf Networks

106

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Sensor network applications are generally characterized by long idle durations and intermittent communication patterns. The traffic loads are typically so low that overall idle duration energy consumption dominates. Low duty cycle MAC protocols are used in order to reduce the energy consumption in idle periods. However, lowering the duty cycle value in favour of energy consumption results in increased latency, which makes this approach undesirable for many practical applications.In this paper, we propose Radio Triggered Wake-up with Addressing Capabilities (RTWAC) that allows suppressing the idle duration current consumption. Our solution consists of an external low-cost hardware wake-up circuit attached to the microcontroller of a sensor node. In order to communicate with a sensor node, a special kind of out-of-band modulated wake-up signal is transmitted. The modulated signal contains data that enables one to distinguish between differently addressed nodes in order to avoid undesired node wake-ups. Furthermore, we advocate the idea of combining RTWAC to a MAC protocol running on the normal sensor node radio in order to simultaneously achieve low energy consumption and low latency for reliable data communication. 1

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Section: Related Workmentioning

confidence: 99%

Radio-triggered Wake-ups with Addressing Capabilities for Extremely Low Power Sensor Network Applications

Ansari

Pankin

Mähönen

2009

Int J Wireless Inf Networks

106

View full text Add to dashboard Cite

show abstract

“…However, significant latency will still be introduced since delays are accumulated along multiple-hop paths to the BS. A similar scheme was proposed in STEM [14], which assumes that two separate radios, a wakeup radio and a data radio, are available to each sensor node. To send a packet, the wakeup radio of the sending node polls the receiving node until it wakes up, and turns on its data radio.…”

Section: A Duty Cyclingmentioning

confidence: 99%

Stochastically Consistent Caching and Dynamic Duty Cycling for Erratic Sensor Sources

Zhu

Wang

Ravishankar

2006

Distributed Computing in Sensor Systems

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Abstract-We present a novel dynamic duty cycling scheme to maintain stochastic consistency for caches in sensor networks. To reduce transmissions, base stations often maintain caches for erratically changing sensor sources. Stochastic consistency guarantees the cache-source deviation is within a pre-specified bound with a certain confidence level. We model the erratic sources as Brownian motions, and adaptively predict the next cache update time based on the model. By piggybacking the next update time in each regular data packet, we can dynamically adjust the relaying nodes' duty cycles so that they are awake before the next update message arrives, and are sleeping otherwise. Through simulations on the ns-2 simulator, we show that our approach can achieve very high sourcecache fidelity with low power consumption on many reallife sensor data. On average, our approach consumes 4-5 times less power than GAF [1], and achieves 50% longer network lifetime.

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“…To simplify the simulation, we assumed that the radio link propagation delay was zero without transmission error. Energy consumption model is based on real nodes: 0.016mW while sleeping, 12.36mW while idle listening, 12.50mW while receiving, and 14.88mW while transmitting a data packet [1].…”

Section: Simulationmentioning

confidence: 99%

A MAC Protocol to Reduce Sleep Latency and Collisions in Wireless Sensor Network

Pak

Son

Han

2006

Computational Science – ICCS 2006

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Abstract. This paper presents a MAC protocol which uses separate wakeup slots for each sensor node in sensor networks. Most MAC protocols proposed for sensor network are inefficient under heavy traffic loads, in particular in high density network topology because of frequent collisions and long sleep latency. In this paper, we suggest a MAC protocol in which each node has a different wakeup schedule in the same duty cycle, and it joins the competition only for its own short wakeup slot when the receiver is ready to receive its data. Simulation results indicate that our scheme can reduce energy consumption and minimize idle listening which increases the power efficiency.

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Optimizing sensor networks in the energy-latency-density design space

Cited by 558 publications

References 12 publications

Radio-triggered Wake-ups with Addressing Capabilities for Extremely Low Power Sensor Network Applications

Radio-triggered Wake-ups with Addressing Capabilities for Extremely Low Power Sensor Network Applications

Stochastically Consistent Caching and Dynamic Duty Cycling for Erratic Sensor Sources

A MAC Protocol to Reduce Sleep Latency and Collisions in Wireless Sensor Network

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