It is our great pleasure to welcome you to the 8th ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization (WiNTECH 2013) hosted in Miami, Florida, USA. Similar to previous editions, WiNTECH workshop is serving as a major venue for bringing together researchers and practitioners working in the area of experimental wireless research.
The call for papers this year attracted submissions from all over the world. The program committee did an excellent job in reviewing the papers, and we finally accepted 11 papers out 26 submissions. The papers in the program cover a variety of topics, including design and implementation of different wireless protocols (e.g., context-specific MAC, cooperative packet recovery, and mobile adaptive streaming), and evaluation and characterization of various wireless systems (e.g., 802.11n for drones, digital wireless channel emulator, video quality for mobile clients, low power wireless networks, and energy consumption monitoring.) The program also includes a keynote speech on "Spectrum Access from TV Bands to Millimeter Wave and Visible Light" by Edward Knightly from Rice University who is a world-renown researcher in the field of mobility and wireless systems. We conclude the workshop with the demo session, which has been an integral part of WiNTECH workshop over the years, including 8 exciting demos.
Proceeding Downloads
One size hardly fits all: towards context-specific wireless MAC protocol deployment
This paper casts recent accomplishments in the field of Wireless MAC programmability into the emerging Software Defined Networking perspective. We argue that an abstract (but formal) description of the MAC protocol logic in terms of extensible finite ...
Enhancing the performance of random access MAC protocols for low-cost SDRs
Software Defined Radio (SDR) is a technology which facilitates experimentation and the practical realization of novel wireless communication systems. Especially low-cost SDRs, however, experience high communication delays due to the connection between ...
Implementation of a protocol for cooperative packet recovery over hybrid networks
In this work, we consider the challenge of delivering high-quality multimedia content to users concentrated in a small physical location, e.g., a sports stadium in which fans may view extra video content on their mobile devices. Because each user ...
From ground to aerial communication: dissecting WLAN 802.11n for the drones
Micro Unmanned Aerial Vehicles (UAVs) employed in civil missions are receiving remarkable attention from both research and industry. UAVs embed more and more sensor technology, and their small mounted cameras allow for efficient mapping of large areas ...
MASERATI: mobile adaptive streaming based on environmental and contextual information
Wireless/mobile video streaming has become increasingly popular, which makes wireless link bandwidth scarce. To provide streaming services to mobile users, it is crucial to adapt to the link condition and traffic fluctuation. We investigate which ...
Using IF-scale delays to emulate the effects of site-specific multipath in a digital wireless channel emulator
Laboratory-based wireless testbeds are essential for performing repeatable experiments with experimental protocols and devices. Several many-to-many wireless emulators have been proposed and built, but existing systems still rely on simplified channel ...
Bit error distribution and mutation patterns of corrupted packets in low-power wireless networks
It is well known that wireless channels produce higher bit error rates than wired connections. However, little knowledge exists about how bit errors are distributed within messages. In this paper, we present results from our experiments in an 802.15.4 ...
Evaluating perceptual video quality for mobile clients in 802.11n WLAN
In this paper, we characterize the performance of HD video streaming in 802.11n WLANs under user mobility. We conducted experiments in QuRiNet, a large-scale outdoor wireless testbed that experiences little electromagnetic interference. We observe the ...
Fingerprinting channel dynamics in indoor low-power wireless networks
Wireless low-power embedded devices are populating indoor environments, where everyday activities drastically impact communication. We explore a statistical approach to identify changes to the communication links state during system operation. The long-...
Online energy consumption monitoring of wireless testbed infrastructure through the NITOS EMF framework
- Stratos Keranidis,
- Giannis Kazdaridis,
- Virgilios Passas,
- Thanasis Korakis,
- Iordanis Koutsopoulos,
- Leandros Tassiulas
Development of energy-efficient protocols and algorithms requires in-depth understanding of the power consumption characteristics of real world devices. To this aim, energy efficiency analysis is performed by the research community, mainly focusing on ...
Characterizing WiFi connection and its impact on mobile users: practical insights
Smartphones and WiFi networks are becoming pervasive. As a result, new applications and services are being offered to smartphone users through WiFi networks. Some of the more novel applications provide data services to pedestrians as they move through ...
Online energy consumption monitoring of wireless testbed infrastructure through the NITOS EMF framework
- Stratos Keranidis,
- Giannis Kazdaridis,
- Virgilios Passas,
- Thanasis Korakis,
- Iordanis Koutsopoulos,
- Leandros Tassiulas
Development of energy-efficient protocols and algorithms requires in-depth understanding of the power consumption characteristics of real world devices. To this aim, energy efficiency analysis is performed by the research community, mainly focusing on ...
UAV networks in rescue missions
Small-scale unmanned aerial vehicles (UAVs) have received high attention by the robotics community for delivering sensory data of limited size. Yet, the communication capabilities of off-the-shelf UAVs are insufficient for high volume data, such as ...
Enabling mobile sensing through a DTN framework
Participatory Sensing is the concept of distributed data collection by self-selected participants. By exploiting latest technology's smart devices, a large number of valuable information can be collected through embedded sensors and also be uploaded ...
Enabling cognitive-radio paradigm on commercial off-the-shelf 802.11 hardware
- Francesco Gringoli,
- Nicolò Facchi,
- Pierluigi Gallo,
- Domenico Garlisi,
- Fabrizio Giuliano,
- Giuseppe Bianchi
Cognitive Radio paradigm (CR) is recognized as key enabler for next generation wireless networking: accessing the limited radio spectrum in an opportunistic manner allows secondary users to boost their transmission performance without interfering with ...
Time synchronization and localization for underwater acoustic sensor networks with the SUNSET framework
We demonstrate the use of SUNSET, a framework for seamless simulation, emulation and testing, through the implementation and validation of a novel time synchronization and localization algorithm for underwater acoustic sensor networks. The algorithm, ...
Power-boosting residential wired broadband
Residential users often face performance issues while using wired broadband connection with bandwidth hungry applications such as high-quality video streaming. Despite residential users have both wired (ADSL, cable, fibre) and wireless (3G, 4G) access ...
Using ORBIT for evaluating wireless content-centric network transport
Evaluation of Content-Centric Networking (CCN) transport protocols, especially over wireless networks, brings about new requirements for testbeds. Typical CCN transport features such as hop-by-hop transfer, caching support, and receiver-driven traffic ...
Index Terms
- Proceedings of the 8th ACM international workshop on Wireless network testbeds, experimental evaluation & characterization
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
WiNTECH '22 | 15 | 11 | 73% |
WiNTECH '18 | 16 | 10 | 63% |
WiNTECH '17 | 16 | 11 | 69% |
WiNTECH '16 | 15 | 10 | 67% |
WiNTECH '14 | 12 | 10 | 83% |
WiNTECH '13 | 26 | 11 | 42% |
Overall | 100 | 63 | 63% |