It is a great pleasure to welcome you to the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN '22) that takes place in Montréal, Canada, on October 24th - 28th, 2022. This year's ACM PE-WASUN symposium brings together scientists, engineers, and technicians 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 objective of the symposium is to share novel proposals for monitoring, measuring, simulating, modeling, analyzing, optimizing, testing 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. ACM PE-WASUN gives researchers and practitioners a unique opportunity to share their views with other researchers interested in the diverse aspects of performance evaluation.
The call for papers attracted a high number of submissions from Europe, North and South America. The technical program committee accepted 17 regular papers, which cover a variety of topics, including experimental and simulation analysis, design and performance evaluation of routing protocols and multimedia services, 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
XuILVQ: A River Implementation of the Incremental Learning Vector Quantization for IoT
In machine learning, incremental learning algorithms provide a solution for models that need to dynamically adapt and react to their context by analyzing samples from data streams. These algorithms are especially suitable for Internet of Things (IoT) ...
Prototype of deployment of Federated Learning with IoT devices
In the age of technology, data is an increasingly important resource. This importance is growing in the field of Artificial Intelligence (AI), where sub fields such as Machine Learning (ML) need more and more data to achieve better results. Internet of ...
Performance Evaluation of Wi-Fi HaLow, NB-IoT and LoRa for Smart City Applications
Long-range wireless technologies are at the core of Internet of Things (IoT) and smart city applications. While they offer many advantages in terms of ease of deployment, flexibility, mobility, and ubiquity, to name but a few, they are not equally ...
Detecting Malicious Use of DoH Tunnels Using Statistical Traffic Analysis
DNS plays a fundamental role in the operation of ubiquitous networks. All devices connected to these networks need DNS to work, both for traditional domain name to IP address translation, and for more advanced services such as resource discovery. At ...
Using Decentralized Aggregation for Federated Learning with Differential Privacy
- Hadeel Abd El-Kareem Abd El-Moaty Saleh,
- Ana Fernández Vilas,
- Manuel Fernández-Veiga,
- Yasser El-Sonbaty,
- Nashwa El-Bendary
Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between privacy and utility in scenarios that combine exchange communications, big ...
Machine Learning Based Prediction with Parameters Tuning of Multi-Label Real Road Vehicles Characteristics
The real-time traffic characteristics on the road network highly affect the safety conditions and the driving behaviors there. Early detection of crowded areas or hazardous conditions on the road network should affect the drivers' decisions and behavior ...
Coverage Path Planning for Internet of Drones
Drones have been used in several applications, such as monitoring, search and rescue, urban sensing, traffic management, and delivery of goods. Soon, all these applications must share the same airspace forming the Internet of Drones (IoD). The IoD will ...
A Quality of Experience Evaluation Methodology for First-Person-View Drone Control in Cellular Networks
- Nuria González Serrato,
- Marta Solera Delgado,
- Fernando Ruiz Vega,
- Carolina Gijón Martín,
- Matías Toril Genovés
Several upcoming 5G and 6G services will rely on unmanned aerial vehicles (UAV) sending live information to remote terminals in Beyond Visual Line of Sight scenarios. Thus, understanding the traffic flows in these services that might influence end-user ...
How does the Selection of Wireless Technology Impact the Performance of the Smart Grid? A Simulation Approach
- Juan Pablo Astudillo León,
- Carlos Lester Dueñas Santos,
- Ahmad Mohamad Mezher,
- Julián Cárdenas Barrera,
- Julian Meng,
- Eduardo Castillo Guerra
Electric power is a widely used resource around the world and has relied heavily on fossil energy sources that are expensive and polluting. Therefore, there is an urgent need to move to a low-carbon economy, avoid unpredictable fuel costs and replace ...
RPL+: An Improved Parent Selection Strategy for RPL in Wireless Smart Grid Networks
- Carlos Lester Duenas Santos,
- Juan Pablo Astudillo León,
- Ahmad Mohamad Mezher,
- Julian Cardenas Barrera,
- Julian Meng,
- Eduardo Castillo Guerra
Routing protocols play an important role in a Wireless Smart Grid Network (WSGN). The implementation of efficient routing strategies becomes paramount to guarantee the necessary interaction between utilities smart devices like smart meters, and the ...
Cost-effective Measurements of 5G Radio Resources Allocation for Telecom Market Regulator's Monitoring
The Regulatory Authority monitors and regulates the telecom market at a national-wide range. One of its main tasks is to put spectrum at disposal of the Mobile Network Operators (MNO) for serving the increase number of users and services. For this scope,...
Realistic Assessment of Transport Protocols Performance over LEO-based Communications
- Cristina Hervella,
- Luis Diez,
- Fátima Fernández,
- Néstor J. Hernández Marcano,
- Rune Hylsberg Jacobsen,
- Ramón Agüero
We study the performance exhibited by transport protocols, TCP and QUIC, over realistic satellite networks. We propose a novel methodology, which combines real implementation (exploiting virtualization techniques) and simulation, to carry out systematic ...
Privacy-Aware Vehicle Emissions Control System for Traffic Light Intersections
This paper proposes a privacy-aware reinforcement learning (RL) framework to reduce carbon emissions of vehicles approaching light traffic intersections. Taking advantage of vehicular communications, traffic lights disseminate their state (i.e., traffic ...
LoRaWAN-based Smart Parking Service: Deployment and Performance Evaluation
The dramatic increase of the urban population has put a lot of pressure in modern urban transportation systems. This not only implies noteworthy air pollution, and waste in time and energy, but also has led to the critical issue of the parking spots ...
Performance Evaluation and Testbed for Delivering SRT Live Content using DASH Low Latency Streaming Systems
The work presented in this paper focuses on the implementation of a testbed for the evaluation of content distribution systems using LL-DASH (Low Latency DASH -Dynamic Adaptive Streaming over HTTP-) and devices that provide real-time sources or servers ...
Making ALOHA Intelligent Taking Advantage of Working Memory Capacity
ALOHA with priority acknowledgments (ACK) is transformed into a collision-free channel access method by increasing the amount of working memory capacity with which communicating nodes remember each node that has requested to join the channel ...
Behind the Mix-Zones Scenes: On the Evaluation of the Anonymization Quality
- Ekler Paulino de Mattos,
- Augusto C. S. A. Domingues,
- Fabrício A. Silva,
- Heitor S. Ramos,
- Antonio A. F. Loureiro
In the flowering of ubiquitous computing, networks like the Internet of Things and the Internet of Vehicles have contributed to connecting objects and sharing location services in broad environments like smart cities bringing many benefits to citizens. ...
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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% |