Medium access controlfacing the reality of WSN deployments

Kuntz, Romain; Gallais, Antoine; Noël, Thomas

doi:10.1145/1568613.1568619

Cited by 22 publications

(18 citation statements)

References 33 publications

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“…6 using experiments with X-MAC and LPP on a 44-node testbed. For instance, we find that adapting their parameters using pTunes enables up to threefold lifetime gains over static MAC parameters optimized for peak traffic, the latter being current practice in many real deployments [23]. pTunes promptly reacts to changes in traffic load and link quality, meeting application-level requirements through an 80 % reduction in packet loss during periods of controlled wireless interference.…”

Section: This Paper Makes the Following Contributionsmentioning

confidence: 99%

“…X-MAC [5] is representative of many sender-initiated MAC protocols based on low-power listening (LPL) [32] that proved viable in real-world deployments [23]. Recent work focuses on receiver-initiated MAC protocols such as low-power probing (LPP) [29].…”

Section: Protocol-specific Modelingmentioning

confidence: 99%

“…In real deployments, it is common practice to overprovision the MAC parameters based on the highest expected traffic load [23]. The goal is to provide sufficient bandwidth during periods of peak traffic, for example, when an important event causes nodes to temporarily generate more sensor data.…”

Section: Lifetime Gainmentioning

confidence: 99%

“…Media access control (MAC) protocols play a key role in determining the performance and reliability of low-power wireless networks, but very few of the many proposed solutions have been adopted in real deployments [23,34].…”

Section: Introductionmentioning

confidence: 99%

“…There exists a large conceptual gap between the high-level application requirements and the low-level MAC protocol operation [23]. In particular, it requires expert knowledge to find MAC operating parameters whose performance satisfies given application requirements.…”

Section: Introductionmentioning

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: This Paper Makes the Following Contributionsmentioning

confidence: 99%

Section: Protocol-specific Modelingmentioning

confidence: 99%

Section: Lifetime Gainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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Using SensLAB as a First Class Scientific Tool for Large Scale Wireless Sensor Network Experiments

Roziers¹,

Chelius²,

Ducrocq³

et al. 2011

Networking 2011

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Part 3: DTN and Sensor NetworksInternational audienceThis paper presents a description of SensLAB(Very Large Scale Open Wireless Sensor Network Testbed) that has been developed and deployed in order to allow the evaluation through experimentations of scalable wireless sensor network protocols and applications. SensLAB’s main and most important goal is to offer an accurate open access multi-users scientific tool to support the design, the development tuning, and the experimentation of real large-scale sensor network applications. The SensLAB testbed is composed of 1024 nodes over 4 sites. Each site hosts 256 sensor nodes with specific characteristics in order to offer a wide spectrum of possibilities and heterogeneity. Within a given site, each one of the 256 nodes is able both to communicate via its radio interface to its neighbors and to be configured as a sink node to exchange data with any other ”sink node”. The hardware and software architectures that allow to reserve, configure, deploy firmwares and gather experimental data and monitoring information are described. We also present demonstration examples to illustrate the use of the SensLAB testbed and encourage researchers to test and benchmark their applications/protocols on a large scale WSN testbed

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Design of Low Data-Rate Environmental Monitoring Applications

Silva

Moghaddam

Liu

2013

The Art of Wireless Sensor Networks

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The majority of low-cost and off-the-shelf Wireless Sensor Networks (WSNs) solutions cannot adequately address issues related to an unattended deployment in a harsh environment, especially if the network needs to scale and achieve high density or high coverage or both. This is usually the case in environmental applications. In this chapter, this problem is investigated and extensive discussion on the pros and cons of a specific WSN design is presented. However, before moving from generic and well-established WSN solutions to customization, a detailed analysis of the gains of having a tailored design is necessary. Accordingly, a case study involving sparse deployments in outdoors is used to illustrate the process.The majority of existing WSN deployments are for low data-rate monitoring applications, and some of the first WSNs were designed for environmental monitoring. However, many challenges remain to be fully addressed before low-cost and largescale outdoor WSNs can become a more common reality [13,15,23,24]. In this chapter, the rationale supporting this statement is presented and some guidelines for the design of specialized WSNs for such a scenario are proposed. For this purpose, a real-world environmental monitoring application is used as a case study along with a specific WSN design. The taxonomy given in Chap. 2 is used to characterize the most relevant aspects of the design. More specifically, for each design dimension, the pros and cons of the proposed solution are discussed. We also highlight the pros and cons of designing a specialized WSN as opposed to adopting generic off-the-shelf WSN technologies.

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Medium access controlfacing the reality of WSN deployments

Cited by 22 publications

References 33 publications

pTUNES: Runtime parameter adaptation for low-power MAC protocols

pTUNES: Runtime parameter adaptation for low-power MAC protocols

Using SensLAB as a First Class Scientific Tool for Large Scale Wireless Sensor Network Experiments

Design of Low Data-Rate Environmental Monitoring Applications

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