Due to numerous requests, we decided to extend the paper deadline until Sunday, June 24th, at midnight Eastern Daylight Time. C A L L F O R P A P E R S 4th International Workshop on Data Management for Sensor Networks (DMSN'07) September 24, 2007, Vienna, AUSTRIA (colocated with VLDB 2007) http://data.cs.washington.edu/dmsn07/ WORKSHOP AIM DMSN'07 is the fourth in a series of successful workshops that aim to bring together researchers working on all aspects of sensor data management: from data processing in networks of remote, wireless, resource-constrained sensors to managing heterogeneous, noisy, and sometimes sensitive sensor data in databases. The resource-constrained, lossy, noisy, distributed, and remote nature of sensor networks means that traditional database techniques often cannot be applied without significant re-tooling. Challenges associated with acquiring and processing large-scale, heterogeneous sets of live sensor data also call for novel data management techniques. Finally, in many applications, collecting sensor data raises important privacy and security concerns that require new protection and anonymization techniques. DMSN'07 will serve as a forum for discussing the state-of-the-art, new research results, novel system designs, lessons learned from experimental deployments, new ideas, and future research directions in the general area of sensor data management. DMSN'07 is colocated with VLDB 2007 and is sponsored by Intel Corporation. TOPICS OF INTEREST We solicit papers that address all important aspects of sensor data management. Topics of interest include but are not limited to: - database languages for sensor tasking - distributed sensor data storage and indexing - data replication and consistency in noisy and lossy environments - energy-efficient data acquisition and dissemination - in-network query processing - networking support for data processing - query optimization and deployment planning in sensor networks - database techniques for managing loss, uncertainty, noise, and ambiguity - model-based sensor data processing - challenges and techniques for new types of sensor data: e.g., RFID, images and videos, data from scientific and medical instruments - personal, ubiquitous applications of sensor-based infrastructures - integration of sensor data of different modalities and from different sources - integration of sensor data in traditional databases and streaming systems - techniques for secure sensor data collection and processing - privacy protection techniques for sensor data Submitted papers must not have been published or currently be under consideration for publication at another venue. We are particularly interested in position papers, vision papers, system designs, and papers that address new challenges for sensor data management. Questions about the workshop scope should be directed to the program co-chairs at dmsn07@cs.washington.edu. IMPORTANT DATES Paper submission: Sun, Jun 24, 2007 (midnight EDT) Notification: Sun, Jul 22, 2007 Camera-ready due: Wed, Aug 01, 2007 Workshop: Mon, Sep 24, 2007 SUBMISSION INSTRUCTIONS All submissions will be handled electronically. More details are posted on the web site, http://data.cs.washington.edu/dmsn07/ Full papers in PDF format must be submitted by June 19th, 2007 (midnight Eastern Daylight Time). Papers should be in the ACM Proceedings camera- ready format (double-column, at most 6 pages in 9pt font). The format of your submission must be for US "Letter" size paper (8.5 by 11 inches). Please do not use the A4 paper size. See the web site for more details and a link to the ACM Proceedings template. Questions about the submission process should be directed to the program co-chairs at dmsn07@cs.washington.edu. WORKSHOP FORMAT Our goal is to fill an important gap in the community by bringing interested researchers together to identify future research challenges and opportunities. As such, the workshop will be organized in a way to foster interaction and exchange of ideas among the participants. We expect to have longer than usual question-and-answer periods after paper presentations and at least one panel discussion. ORGANIZATION General Chairs: Amol Deshpande and Qiong Luo amol@cs.umd.edu luo@cse.ust.hk CS, University of Maryland CS, HKUST Program Committee Chairs: Magdalena Balazinska and Jun Yang magda@cs.washington.edu junyang@cs.duke.edu CS, University of Washington CS, Duke University Steering Committee: Alexandros Labrinidis University of Pittsburgh Samuel Madden Massachusetts Institute of Technology Program Committee: Philippe Bonnet University of Copenhagen Amol Deshpande University of Maryland, College Park Yanlei Diao University of Massachussets, Amherst Peter Fischer ETH Zurich Mike Franklin University of California, Berkeley Minos Garofalakis Yahoo! Research Dimitrios Gunopulos University of California, Riverside Mark H. Hansen University of California, Los Angeles Joseph M. Hellerstein University of California, Berkeley Wei Hong Arch Rock Corporation Zachary Ives University of Pennsylvania Christian S. Jensen Aalborg University Yannis Kotidis Athens University of Economics and Business Alexandros Labrinidis University of Pittsburgh Dik Lee Hong Kong University of Science and Technology Philip Levis Stanford University Qiong Luo Hong Kong University of Science and Technology Samuel Madden Massachusetts Institute of Technology Pedro Jose Marron University of Stuttgart Kamesh Munagala Duke University Suman Nath Microsoft Research Silvia Nittel University of Maine Matthai Philipose Intel Research, Seattle Sunil Prabhakar Purdue University Kian-Lee Tan National University of Singapore Matt Welsh Harvard University Jianliang Xu Hong Kong Baptist University Jeffrey Yu Xu Chinese University of Hong Kong Demetris Zeinalipour-Yazti University of Cyprus