MaxMAC: A Maximally Traffic-Adaptive MAC Protocol for Wireless Sensor Networks

Hurni, Philipp; Braun, Torsten

doi:10.1007/978-3-642-11917-0_19

Cited by 43 publications

(50 citation statements)

References 15 publications

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“…ElHoiydi and Decotignie adapt radio wake-ups in WiseMAC to shorten the LPL preamble [15]. More recently, Hurni and Braun propose MaxMAC, which schedules additional X-MAC wake-ups at medium traffic and switches to pure CSMA at high traffic [21]. Such hard-coded adaptivity mechanisms can be highly effective in specific scenarios, but lack general applicability and bear no direct connection to the high-level application demands.…”

Section: Related Workmentioning

confidence: 99%

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pTUNES: Runtime parameter adaptation for low-power MAC protocols

Zlmmerling¹,

Ferrari²,

Mottola³

et al. 2012

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)

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We present pTunes, a framework for runtime adaptation of low-power MAC protocol parameters. The MAC operating parameters bear great influence on the system performance, yet their optimal choice is a function of the current network state. Based on application requirements expressed as network lifetime, end-to-end latency, and end-to-end reliability, pTunes automatically determines optimized parameter values to adapt to link, topology, and traffic dynamics. To this end, we introduce a flexible modeling approach, separating protocol-dependent from protocol-independent aspects, which facilitates using pTunes with different MAC protocols, and design an efficient system support that integrates smoothly with the application. To demonstrate its effectiveness, we apply pTunes to X-MAC and LPP. In a 44-node testbed, pTunes achieves up to three-fold lifetime gains over static MAC parameters optimized for peak traffic, the latter being current-and almost unavoidable-practice in real deployments. pTunes promptly reacts to changes in traffic load and link quality, reducing packet loss by 80 % during periods of controlled wireless interference. Moreover, pTunes helps the routing protocol recover quickly from critical network changes, reducing packet loss by 70 % in a scenario where multiple core routing nodes fail.

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Section: Related Workmentioning

confidence: 99%

“…One way to approach this problem is to embed adaptivity within the protocol operation [21]. This, however, hard-codes the adaptation decisions and thus limits their applicability.…”

Section: Introductionmentioning

confidence: 99%

pTUNES: Runtime parameter adaptation for low-power MAC protocols

Zlmmerling¹,

Ferrari²,

Mottola³

et al. 2012

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)

View full text Add to dashboard Cite

show abstract

“…Figure 7, DECTED and BCH). Comparing the results of Hamming (7,4), DECTED(16,8) and the BCH-variants with the adaptive approaches, we can conclude that the adaptive FECs achieved astonishingly good results. The three strategies SA-FEC, SHA-FEC and SSRA-FEC outperformed almost every other static and network-wide setting of any of the implemented ECC codes.…”

Section: Software-based Energyestimationmentioning

confidence: 84%

Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks

Hurni

2013

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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“…In [3], Castagnetti et al introduced two PMs, the OpenLoop PM (OL-PM) and the Closed-Loop PM (CL-PM). The former one takes into account only the harvested energy in its power management strategy, which aims to maintain the node in the ENO state by keeping the SoC constant over time.…”

Section: Related Workmentioning

confidence: 99%

GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes

Aoudia

Gautier²,

Berder³

2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-In this work, Wireless Sensor Network (WSN) applications that require long-term sustainability are considered. Energy harvesting forms a promising technology to address this challenge, by allowing each node to be entirely powered by energy harvested from its environment. To be sustainable, each node must dynamically adapt its Quality of Service (QoS), regarding the harvested energy using a power management strategy. This strategy is implemented on each node by the Power Manager (PM). In this paper, GRAPMAN (GRAdual Power MANager) is proposed, a novel PM for Energy-Harvesting WSN (EH-WSN) powered by pseudo-periodic energy sources. Unlike most state of the art PMs, GRAPMAN aims to achieve high average throughput while maintaining consistent QoS, i.e. with low fluctuations with respect to time, by looking for the highest throughput that can be supplied by the node over a finite time horizon while remaining sustainable. We show through extensive trace-driven network simulations that GRAPMAN outperforms state of the art PMs in both average throughput and throughput consistency.

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MaxMAC: A Maximally Traffic-Adaptive MAC Protocol for Wireless Sensor Networks

Cited by 43 publications

References 15 publications

pTUNES: Runtime parameter adaptation for low-power MAC protocols

pTUNES: Runtime parameter adaptation for low-power MAC protocols

Traffic-Adaptive and Link-Quality-Aware Communication in Wireless Sensor Networks

GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes

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