In Conjunction with
The 43rd International Conference on Parallel Processing (ICPP) 2014
Minneapolis, USA, September 9-12, 2014
Research of wireless ad-hoc and sensor networks is continuing to produce potential solutions to the networking scenarios that require efficient and dynamic communications among distributed mobile users over relatively bandwidth-constrained wireless links. The distributed sensing capabilities and the ease of deployment of sensors enable various interesting applications, such as monitoring the environment to collect information, assisting emergence/rescue operations and forming vehicle and military networks, etc. The related subjects are enormously complex, involving many concepts, protocols, technologies, algorithms, and products that work together in an intricate manner. This workshop is focused on the issues that arise in designing wireless sensor and ad-hoc networks, including both the practice of employing wireless sensors in real-world applications and the fundamental/theoretical basis that leads to building such applications. We hope to provide a forum for sharing ideas and experience among researchers and practitioners working on state-of-the-art techniques in this challenging field.
The topics include but not limited to:
- VANET applications
- Mobile P2P and overlay networks
- Data dissemination
- Mobile data management
- Routing and messaging protocols
- Privacy and security applications
- Energy and resource management
- Location based services
- Resource management
- Multiple access
- Localization and tracking
- Fault tolerance and redundancy schemes
- Multimedia/QoS communications
- Cloud applications
- Novel applications related to wireless, ad hoc, and sensor networks
The published papers will be available at the conference in digital format, and will be submitted to the IEEE CS Digital Library.
Paper submissions should be formatted according to the CPS standard double-column format with a font size 10 pt or larger. Each paper is strictly limited to 10 pages in length. The format sample and templates can be found at:
Papers should be submitted in pdf format together with a short abstract (approximately 150 words) via email attachment to the email address: email@example.com. Each submission will be reviewed by at least two reviewers.
|Notification date||June 27th, 2014|
|Camera-ready due||July 4th, 2014|
|Conference dates||Sep. 9-12, 2014|
|General Chair:||Professor Tomotaka Wada
|TPC Chairs:||Professor Scott Huang
National Tsing Hua University
|Professor Kazuya Sakai
Tokyo Metropolitan University
|Professor Satoshi Fukumoto, Tokyo Metropolitan University|
|Professor Masayuki Arai, Nihon University|
|Dr. Mamoru Ohara, Tokyo Metropolitan Industrial Technology Research Institute|
|Professor Min-Te Sun, National Central University|
|Professor Guaning Chen, Kainan University|
|Professor Minoru Okada, Nara Institute of Science and Technology|
|Professor Kouichi Mutsuura, Shinshu University|
|Professor Hiroyuki Yomo, Kansai University|
|Professor Takuya Yoshihiro, Wakayama University|
Session 1 - Wireless and mobile applications (Sep. 12th, 9:00am - 10:00am)
- Hiroko Higuchi, Jun Fujimura, Takahumi Nakamura, Katsunori Kogo, Kentaro Tsudaka, Tomotaka Wada, Kazuhiro Ohtsuki, and Hiromi Okada, "Disaster Detection by Statistics and SVM for Emergency Rescue Evacuation Support System"
- Haruka Iwahashi, Hiroko Higuchi, Katsunori Kogo, Tomohiro Kitamura, Tomotaka Wada, Kazuhiro Ohtsuki, and Hiromi Okada, "Extraordinary judging using electrodermal activity and acceleration for Emergency Rescue Evacuation Support System"
- Mohammad Aazam and Eui-Nam Huh, "Resource Management in Media Cloud of Things"
Session 2 - Network protocols and vehicular networks (Sep. 12th, 10:30am - 11:30am)
- Kazuya Sakai and Min-Te Sun, "Single-Initiator CDS Construction for Wireless Networks with Directional Antennas"
- Muneyuki Nakamura, Mamoru Ohara, Aromhack Saysansongkham, Masayuki Arai, Kazuya Sakai, and Satoshi Fukumoto, "Hybrid ARQ for DC-DC Converter Noise in Controller Area Networks"
- Cheng Feng and Kai Li, "A Compressed Sensing Approach to Monitor Urban Traffic with Data Aggregation in VANETs"