2018
DOI: 10.1109/comst.2018.2820810
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A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks

Abstract: Envisioned communication densities in Internet of Things (IoT) applications are increasing continuously. Because these wireless devices are often battery powered, we need specific energy efficient (low-power) solutions. Moreover, these smart objects use low-cost hardware with possibly weak links, leading to a lossy network. Once deployed, these Low-power Lossy Networks (LLNs) are intended to collect the expected measurements, handle transient faults and topology changes, etc. Consequently, validation and verif… Show more

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Cited by 39 publications
(29 citation statements)
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References 129 publications
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“…Besides, the construction of the schedule was carried out using the Traffic Aware Scheduling Algorithm (TASA) [14]. A node generates a random number of packets (comprised between [1,5]) at the beginning of each slotframe. We consider 16 channel offsets and a slotframe size of 293 timeslots to support all the flows and their possible retransmissions.…”
Section: Performance Evaluation a Simulation Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…Besides, the construction of the schedule was carried out using the Traffic Aware Scheduling Algorithm (TASA) [14]. A node generates a random number of packets (comprised between [1,5]) at the beginning of each slotframe. We consider 16 channel offsets and a slotframe size of 293 timeslots to support all the flows and their possible retransmissions.…”
Section: Performance Evaluation a Simulation Methodologymentioning
confidence: 99%
“…Smart City applications rely extensively on the Internet of Things (IoT), requiring network reliability above 99.9% and guaranteed maximum delay and jitter. For instance, smart parkings need to collect real time information to provide a good quality of experience [1].…”
Section: Introductionmentioning
confidence: 99%
“…Here, we present and discuss the test environment components to evaluate our proposed architecture. Various IoT simulators have surfaced in recent years, yet Contiki’s [ 66 ] popularity and wide acceptance as IoT operating system made us use this open source operating system with its built-in Cooja simulator [ 67 , 68 , 69 ]. We first summarize the configurations setup and their values used throughout our experiments in Table 1 and then give a brief overview behind using Contiki and Cooja.…”
Section: Performance Evaluationmentioning
confidence: 99%
“…These applications include transportation, health care, industrial automation, smart building, smart city etc. [3,4]. A subset of the wireless sensor network (WSN) is a low-power and lossy network (LLN), a collection of interconnected [5] embedded devices such as smart objects.…”
Section: Introductionmentioning
confidence: 99%