It is our great pleasure to welcome you to the 13th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PEWASUN' 16) that takes place in Valletta, Malta, on November 16th - 17th, 2016. This year's ACM PE-WASUN symposium brings together scientists, engineers, and practitioners to share and exchange their experiences, discuss challenges, and report state-of-the-art and in-progress research on all aspects of wireless ad hoc, sensor, and ubiquitous networks with a specific emphasis on their performance evaluation and analysis. The mission of the symposium is to share novel approaches for monitoring, measuring, modeling, simulating, analyzing, optimizing and case-studying the characteristics of ad hoc, sensor, pervasive and ubiquitous networks, as well as exploring and developing new ad hoc networking protocols and tools. This year, the symposium has also a specific interest on reproducible research. ACM PE-WASUN gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of performance evaluation.
The call for papers attracted large number of submissions from Europe, Asia and America. The technical program committee accepted 11 regular papers and 2 short papers, which cover a variety of topics, including experimental analysis, testbeds, reproducible research, performance evaluation, vehicular and sensor networks. We hope that these proceedings will serve as valuable references for researchers and developers in the field of wireless ad hoc, sensor and ubiquitous networks.
Proceeding Downloads
Adaptive Video-streaming Dissemination in Realistic Highway Vehicular Ad-Hoc Networks
The dissemination of video information contents migth enhance the performances of safety-related applications in vehicular ah-hoc networks (VANETs). A major problem concerns the high sensitivity of the compressed video streams to the severe channel ...
Mechanisms for Enhancing the Performance of Routing Protocols in VANETs
Vehicular Ad Hoc Networks (VANETs) are considered as a special case of Mobile Ad Hoc Networks (MANETs) and are recently gaining a great attention from the research community. Routing in VANETs has to adapt to special characteristics such as high speed ...
Accuracy Analysis of Short-term Traffic Flow Prediction Models for Vehicular Clouds
Vehicular Clouds introduces a new paradigm that addresses and potentially enhances underutilization of on-board computing resources through aggregation to solve several computational tasks in Intelligent Transportation System. The most challenging issue ...
A Note on the Causes Degrading Communication between RSUs and Vehicles in Overloaded Conditions
Roadside units (RSUs) are a key component of future Intelligent Transportation Systems. Because of the limited capacity of RSUs, and the short lifespan of the connections initiated by passing-by vehicles, the communication resource should be used with ...
Statistical Delay Bound for WirelessHART Networks
In this paper we provide a performance analysis framework for wireless industrial networks by deriving a service curve and a bound on the delay violation probability. For this purpose we use the $(\min, \times)$~stochastic network calculus as well as a ...
Range Based Wireless Sensor Node Localization Using Bat Algorithm
For most wireless sensor networks applications it is necessary to know the locations of all sensor nodes. Since sensor nodes are usually cheap, it is impossible to equip them all with GPS devices, hence the localization process depends on few static or ...
RMT: A Wireless Sensor Network Monitoring Tool
Wireless Sensor Networks (WSNs) can be used to monitor otherwise difficult-to-reach environments due to the physical characteristics of the nodes and their ability to transmit data from a distance. However, they also bear the disadvantages of small life ...
Importance of Repeatable Setups for Reproducible Experimental Results in IoT
Performance analysis of newly designed solutions is essential for efficient Internet of Things and Wireless Sensor Network (WSN) deployments. Simulation and experimental evaluation practices are vital steps for the development process of protocols and ...
Rover: Poor (but Elegant) Man's Testbed
- Zacharie Brodard,
- Hao Jiang,
- Tengfei Chang,
- Thomas Watteyne,
- Xavier Vilajosana,
- Pascal Thubert,
- Geraldine Texier
This paper presents the OpenVisualizer Rover testbed, a simple, easy-to-deploy and cheap testbed for the Internet of Things (IoT). The OpenWSN project provides a free and pen-source implementation of a standards-compliant protocol stack for the IoT, as ...
Time-Independent Experiment Reproducibility: Turning the WalT Platform into a Time Machine
This paper concerns the problem of testing wireless networks in a way that guarantees repeatability and reproducibility of experiments. To contribute to this research objective, we have developed WalT, a reproducible platform for running reproducible ...
A Distributed Algorithm for Maximizing Linear Tree Density for One to Many Wireless Communication
Reliable and efficient broadcast functions are essential in large, dense, multi-hop low power wireless systems managed by a gateway. Previous approaches addressing this issue rely on centralized and/or solutions requiring complex implementations. This ...
Interplay of Link Quality Estimation and RPL Performance: An Experimental Study
The Internet of Things (IoT) is rapidly evolving from a vision to reality. Practical realisations of IoT systems will require experimentation and trials on real testbeds to ensure proper functioning and scalability under realistic conditions and ...
INLyD: Inter-Network-Layer Delay as a Low-cost Quality Metric for Multi-hop Routing in Wireless Mobile Networks
The need for authentic and effective portrayal of the spatio-temporally changing quality of wireless links has gained wide attention especially over the last decade. Software-based link quality estimators (LQE) classify links with help of packet ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
PE-WASUN '22 | 60 | 17 | 28% |
PE-WASUN '14 | 52 | 9 | 17% |
PE-WASUN '13 | 36 | 12 | 33% |
PE-WASUN '08 | 42 | 16 | 38% |
PE-WASUN '06 | 50 | 16 | 32% |
Overall | 240 | 70 | 29% |