Link Stability in a Wireless Sensor Network – An Experimental Study

Lohs, Stefan; Karnapke, Reinhardt; Nolte, Jörg

doi:10.1007/978-3-642-32778-0_12

Cited by 8 publications

(10 citation statements)

References 2 publications

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“…More specifically, the sensor nodes are equipped with different processor architectures and radio chips (i.e., MSP430 with CC1101 or CC2420, and STM32 and Cortex A8 with AT86RF231 respectively). This makes IoT-LAB compatible both with the IEEE 802.15.4 standard [23] and with open Medium Access Control (MAC) [24], [25] protocols, and moreover, suitable for real-world WSN and IoT deployments [26], [27]. Table 1 provides a detailed overview of nodes distribution over six sites in France.…”

Section: An Iot-lab Hardwarementioning

confidence: 99%

Thorough IoT testbed characterization: From proof-of-concept to repeatable experimentations

et al. 2017

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In this paper, we explore the role of simulators and testbeds in the development procedure of protocols or applications for Wireless Sensor Networks (WSNs) and Internet of Things (IoT). We investigate the complementarity between simulation and experimentation studies by evaluating latest features available among open testbeds (e.g., energy monitoring, mobility). We show that monitoring tools and control channels of testbeds allow for identification of crucial issues (e.g., energy consumption, link quality) and we identify some opportunities to leverage those real-life obstacles. In this context, we insist on how simulations and experimentations can be efficiently and successfully coupled with each other in order to obtain reproducible scientific results, rather than sole proofs-of-concept. Indeed, we especially highlight the main characteristics of such evaluation tools that allow to run multiple instances of a same experimental setup over stable and finely controlled components of hardware and real-world environment. For our experiments, we used and evaluated the FIT IoT-LAB facility. Our results show that such open platforms, can guarantee a certain stability of hardware and environment components over time, thus, turning the unexpected failures and changing parameters into core experimental parameters and valuable inputs for enhanced performance evaluation.

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Section: An Iot-lab Hardwarementioning

confidence: 99%

Thorough IoT testbed characterization: From proof-of-concept to repeatable experimentations

et al. 2017

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“…IoT-LAB designed their own board, named WSN430, in order to meet with the requirements in terms of energy monitoring, reproducibility. The nodes of IoT-LAB are running on top of wide spread low power MSP430 micro-controller (see Figure 1(b)) suitable for real WSN deployments [4], [12]. Each node is equipped either with a Texas Instruments CC1101 or CC2420 radio chipset.…”

Section: Iot-lab's Infrastructurementioning

confidence: 99%

“…For instance, the radio environment dynamics (e.g. link stability and symmetry over time [4], impact of weather on communications [5]) are mostly unpredictable and can bear a great influence on the deployment success or failure [6].…”

Section: Introductionmentioning

confidence: 99%

Adding value to WSN simulation using the IoT-LAB experimental platform

Papadopoulos¹,

Beaudaux²,

Gallais³

et al. 2013

2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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Validation of protocols and mechanisms is an essential step to the development of object networks in critical domains. Most papers still provide evaluation either obtained through theoretical analysis or simulations campaigns. Yet, simulators and formal models fail to precisely reproduce the unique specificities of the deployment environments those networks have to evolve in. Also, by putting no limits to code complexity and execution, those tools prevent users to apprehend the actual limits of WSN nodes and to propose realistic communication protocols and applications. In this paper, we highlight to what extent the addition of experimentations can significantly improve the value of performance evaluation campaigns. Along with the recent tendency to have algorithmic and protocol proposals facing real environments, it is questionable whether the so obtained results should be considered as scientific or empirical ones. In the former case, reproducibility, stability over time, topology management to cite a few, are a must have for testbeds and real deployments that are used. In the latter, the results should be viewed as a proof-of-concept only, far from independent of the used hardware and encountered conditions at the experimentation time but still critical from the development cycle standpoint. Through some experiments over the IoT-LAB testbed, we aim at demonstrating to what extent some of the simulation setup and conditions from reality could be emulated. We also provide insight on how to obtain the best out of it in a quick and efficient manner. We show that such testbeds would satisfy many expectations (e.g. scientific tool and proof-of-concept validator), thus minding and bridging some of the gaps between theory and practice in WSN. To this end, we here give an overview of available simulation tools, and guidelines on how to transpose simulation setups to the open large-scale IoT-LAB platform.

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“…This has been proven in experiments with different hardware (e.g. Scatterweb ESB [18], XSM Motes [15,16], Mica Motes [21,22], Mica 2 Motes [6], Ez430-Chronos [10]).…”

Section: Introductionmentioning

confidence: 99%

Simulation of Unidirectional Links in Wireless Sensor Networks

Karnapke

Lohs

Nolte

et al. 2014

Proceedings of the Seventh International Conference on Simulation Tools and Techniques

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Experiments with wireless sensor networks have shown that asymmetric and unidirectional links are common. For this reason, we developed different routing protocols that can use unidirectional links, either implicitly or explicitly. However, developing protocols that use unidirectional links is difficult, not least because of inadequate simulation support. In this paper we present a simulation model based on OM-NeT++ and MiXiM that we developed to simulate networks with unidirectional links and frequent link changes. We evaluate the developed simulation approach by comparison of results achieved by different routing protocols in simulation and in experiments with real sensor network hardware.

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Link Stability in a Wireless Sensor Network – An Experimental Study

Cited by 8 publications

References 2 publications

Thorough IoT testbed characterization: From proof-of-concept to repeatable experimentations

Thorough IoT testbed characterization: From proof-of-concept to repeatable experimentations

Adding value to WSN simulation using the IoT-LAB experimental platform

Simulation of Unidirectional Links in Wireless Sensor Networks

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