Flexible experimentation in wireless sensor networks

Coulson, Geoff; Porter, B.; Chatzigiannakis, Ioannis; Koninis, Christos; Fischer, Stefan; Pfisterer, Dennis; Bimschas, Daniel; Braun, Torsten; Hurni, Philipp; Anwander, Markus; Wagenknecht, Gerald; Fekete, Sándor P.; Kröller, Alexander; Baumgärtner, Tobias

doi:10.1145/2063176.2063198

Cited by 84 publications

(54 citation statements)

References 21 publications

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“…They may not, for example, include limitations of the radio interface hardware such as limited buffer space, limitations due to the protocol stack implementations, or various random sources of errors in the wireless physical layer such as multipath propagation, radio noise, asymmetric radio links, and so on. For our real-life evaluation of PAMPA and its variants, we implemented and deployed the algorithms in a live testbed (a WISEBED instance [26]) of sensor mote devices. In particular, we built the algorithms using the component libraries and toolchain of the Lorien OS [27] deployed and executed on TelosB motes.…”

Section: Methodsmentioning

confidence: 99%

PAMPA in the wild: a real-life evaluation of a lightweight ad-hoc broadcasting family

Winstanley

Ramdhany

Taı̈ani

et al. 2014

J Internet Serv Appl

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Broadcast is one of the core building blocks of many services deployed on ad-hoc wireless networks, such as Mobile Ad-Hoc Networks (MANETs) or Wireless Sensor Networks (WSNs). Most broadcast protocols are however only ever evaluated using simulations, which have repeatedly been shown to be unreliable, and potentially misleading. In this paper, we seek to go beyond simulations, and consider the particular case of PAMPA, a promising family of wireless broadcast algorithms for ad-hoc and wireless networks. We report on our efforts to further our experimental understanding of PAMPA, and present the first ever characterisation of the PAMPA family on a real deployment. Here it has to deal with real network problems such as node, message and sending failure. Our experiments show that the standard PAMPA algorithm out-performs all other protocols in the family, with a delivery ratio consistently around 75%, and a retransmission ratio as low as 44%, for a failure-free run. We use this opportunity to reflect on our findings and lessons learnt when moving from simulations to actual experiments ab .

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Section: Methodsmentioning

confidence: 99%

PAMPA in the wild: a real-life evaluation of a lightweight ad-hoc broadcasting family

Winstanley

Ramdhany

Taı̈ani

et al. 2014

J Internet Serv Appl

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“…To investigate a longer schedule deployment we use 9 nodes in the Wisebed [Coulson et al 2012] installation at the University of Luebeck, Germany. Schedules should be able to stay valid for extended time periods.…”

Section: Long-term Schedule Stabilitymentioning

confidence: 99%

“…To investigate the impact of transmission power reduction on interferance an existing fixed Wisebed [Coulson et al 2012] testbed in a university office building in Braunschweig, Germany was used. A network of 13 nodes of which one node is the sink was used with a 14th node as observer of interference levels at the fringe of the deployment area.…”

Section: Interference Analysismentioning

confidence: 99%

Constructing Schedules for Time-Critical Data Delivery in Wireless Sensor Networks

Pöttner

Seidel

Brown

et al. 2014

ACM Trans. Sen. Netw.

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BraunschweigWireless sensor networks for industrial process monitoring and control require highly reliable and timely data delivery. To match performance requirements specialised schedule based medium access control (MAC) protocols are employed. In order to construct an efficient system it is necessary to find a schedule that can support the given application requirements in terms of data delivery latency and reliability. Furthermore, additional requirements such as transmission power may have to be taken into account when constructing the schedule. In this paper we show how such schedule can be constructed. We describe methods and tools to collect the data necessary as input for schedule calculation. Moreover, due to the high complexity of schedule calculation, we also introduce a heuristic. We evaluate the proposed methods in a real-world process automation and control application deployed in an oil refinery and further present a long-term experiment in an office environment. Additionally, we discuss a framework for schedule life-cycle management.

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“…Establishing a technological and innovative platform can aid in the training and innovative thinking development of students; such a platform can also help students transform knowledge to practice and create breakthroughs. Popular overseas IOT experimental platforms include Kansei [1], WISEBED [2], FlockLab [3], SmartSantander [4], CONET-IT [5], DES-Testbed [6], INDRIYA [7], W-iLAB.t [8], MOTEL [9], TWIST [10].These platforms have a wide and complicated scope, a high price, and a large quantity of maintenance work. In China, Du et al [11] designed a comprehensive training platform based on perception, transport, and application layers; Zhou et al [12] presented a set of experimental systems of IOT based on Zigbee and MEMS.…”

Section: Introductionmentioning

confidence: 99%

Innovative Experiment Platform Design and Teaching Application of the Internet of Things

Cai¹,

Tie²,

Huang³

et al. 2015

Int. J. Onl. Eng.

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Abstract-By analyzing the current situation of experimental platforms based on the Internet of Things (IOT) and the cultivation of talents, we established the talents' cultivating orientation and an experiment platform for innovation. In accordance with the requirements of a practical and creative curriculum, a method of modularization was adopted to design a platform. With this, the platform can basically satisfy the needs of varying teaching experiments, which can increase the opportunities for students' comprehensive application. The platform has been widely used in experimental and practice teaching in the past three years, such as in synthetic experiments, graduate programs, and practice projects at Zhongkai University of Agriculture and Engineering, Guilin University of Technology, etc. Results show that the innovative experimental platform has broad application prospects and effectiveness to meet the requirements of students' in-depth learning and research of IOT technologies. The platform expanded the students' basic understanding of IOT and improved their innovation.

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Flexible experimentation in wireless sensor networks

Abstract: Virtual testbeds model them by seamlessly integrating physical, simulated, and emulated sensor nodes and radios in real time

Cited by 84 publications

References 21 publications

PAMPA in the wild: a real-life evaluation of a lightweight ad-hoc broadcasting family

PAMPA in the wild: a real-life evaluation of a lightweight ad-hoc broadcasting family

Constructing Schedules for Time-Critical Data Delivery in Wireless Sensor Networks

Innovative Experiment Platform Design and Teaching Application of the Internet of Things

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