GENI Wireless Working Group Workshop, March 27/28 held at WINLAB, Rutgers University, North Brunswick, NJ
Agenda:
| GENI WWG Workshop Agenda |
||
|---|---|---|
| Day 1, March 27th |
Session type |
Topics and Objective |
9:00 AM -12:00 Noon (includes 1 coffee break) |
Plenary Presentations (part I) |
Session 1-Mesh Networks
Session 2-DTN & Mobility
Session 3-Vehicular Networks
|
1:00-3:00 PM |
Plenary Presentations (part II) |
Session 4-Sensor Nets
Session 5-Cognitive Radio
|
3:15-5:15 PM |
Break Out Sessions |
1. Mesh/DTN Breakout Session (Chair: J. Kurose) 2. Vehicular Networks Breakout Session (Chair: M. Gerla) 3. Cognitive Radio Breakout Session (Chair: J. Evans) 4. Sensor Networks Breakout Session (Chair: C. Elliott) |
5:15-5:30 PM |
Coffee Break |
|
5:30-6:30 PM |
Demos |
Demos of GENI proof-of-concept work 1. Integrated wired + wireless experimental facility (PlanetLab + ORBIT) Wireless virtualization methods - George Hadjichristofi 2. WARP platform – Ashu Sabharwal
|
| Day 2, March 28th |
Session type |
Topics and Objective |
9:00-10:00 AM |
Plenary |
Reports from each break out session (mesh, DTN, sensor and cognitive) |
10:00-11:00 AM |
Plenary Presentations (part III) |
Session 6-Platform Technologies
|
11:00-11:15 AM |
Coffee Break |
|
11:15 AM - 12:15 PM |
Plenary |
Discussion of workshop conclusions and summary of main wireless research community’s plans for GENI experiments |
12:15-2:00 PM |
Break Out Sessions |
Writing sessions for each break out group (with lunch brought in). Goal is to complete the outline and main points of a report, and also a set of slides for use at the GENI CDR |
2:00 |
|
Adjourn |
Talk abstracts follow on next pages.
| Name & Affiliation |
Session Name |
Title and Abstract |
|---|---|---|
Yair Amir Department of Computer Science John Hopkins University Baltimore, MD 21218 410-516-4803 |
Mesh Networks |
Wireless Mesh Networks: Current Experience and Future Experimental Needs
We present SMesh, the first wireless mesh network that provides fast, loss-less handoff for any unmodified 802.11 clients, suitable for real-time applications such as VoIP (www.smesh.org). The core ideas behind the system will be discussed, as well as the experience with deploying it over the last year at Johns Hopkins University. We then discuss future experimental needs for developing such systems as they scale to metropolitan size. |
Charles E. Perkins Communication Systems Laboratory Nokia Research Center 313 Fairchild Drive Mountain View, CA 94043 650-625-2986 |
Mesh Networks |
Better Plumbing to Reduce Flooding
Mesh and Ad Hoc networking continue to attract interest from numerous and diverse fields of research. However, there are many fundamental questions that remain unanswered. Recently, at Nokia Research Center, we have identified several promising avenues of research. We have carried out some very interesting initial tests and developed some initial analytical tools for understanding the behavior of various routing algorithms. In this presentation, I will explain first of all some recent attempts to improve on-demand routing, and then I will explain the results and insights gained from recent simulations. The algorithms that we have been testing include: Path Accumulation, SMURF (Simplified Multicast Routing & Forwarding) and Reliable flooding
The results we have obtained include: Comparative efficiency of route discovery with and without path accumulation; Routing overhead with and without SMURF; Disappointing performance of reliability signaling; Equitable comparison of OLSR vs. AODV While we are excited about the results obtained so far, they mostly have to be considered incomplete. More testing is needed, and we want to gain additional insight into the actual mechanisms causing failures. Some of the results obtained so far have been surprising, and serve to indicate the importance of factors that are often considered insignificant in the IETF. |
Douglas C. Sicker University of Colorado at Boulder Department of Computer Science 430 UCB Boulder, CO 80309-0430 303-735-4949 |
Mesh Networks |
Experiences Building Wireless Mesh Testbeds
This talk will describe recent efforts at the University of Colorado in building a wireless mesh network. In this project, we are deploying a campus-wide mesh network based on analog phase array antenna technology. The discussion will include not only the technical issues that we encountered but also the logistic and administrative complications. |
Nitin H. Vaidya University of Illinois –Urbana/ Champaign Coordinated Science Laboratory 1308 West Main Street Urbana, IL 61801-2302 217-265-5414 |
Mesh Networks |
Wireless Networks: Things I Wish I Had Learned in Kindergarten
This talk will discuss some simple observations regarding wireless networks that are useful in designing protocols. These observations are based on research by many researchers. I will also discuss their relevance to GENI. |
Mostafa H. Ammar College of Computing 801 Atlantic Drive Georgia Institute of Technology Atlanta, GA 30332-0280 404-894-3292 |
Mobile/DTN |
Accommodating Disruption Tolerant Networking Paradigms within GENI
Disruption tolerant networks (DTNs) are a class of mobile and wireless networks that experience frequent and long-duration partitions. These networks have a variety of applications in situations that include communication in natural disaster areas or other hostile environments, vehicular networks, environmental monitoring and non-interactive Internet access in remote areas. DTN technology also has the potential to enable novel opportunistic and social network applications. In this talk I will first argue that DTNs provide a more natural paradigm for wireless mobile networking. I will then demonstrate that in reality DTNs are part of a larger space of mobile wireless networks. I will advocate that efforts to provide wireless experimental platforms within GENI should address this entire space for maximum benefit. I will conclude with a discussion of the challenges that will need to be addressed for this vision to be realized. |
Jennifer Rexford Department of Computer Science Princeton University 35 Olden Street Princeton, NJ 08540-5233 609-258-5182 |
Mobile/DTN |
Backbone Support for Host Mobility – a Joint ORBIT-VINI Experiment Abstract to be added |
Sanjoy Paul (with Jim Kurose) WINLAB, Rutgers University Technology Center of NJ 671 Route 1 South North Brunswick, NJ 08902 732-932-6857
|
Mobile/DTN |
The Cache and Forward Architecture Proposal for the Future Internet and Related Experimental Considerations
This project develops a cache-and-forward network architecture that exploits the decreasing cost and increasing capacity of storage devices to provide unified and efficient transport services to end hosts that may be wired or wireless; static, mobile, and/or intermittently disconnected; and either resource rich or poor. Fundamental to this architecture is a transport layer service that operates in a hop-by-hop store-and-forward manner with large files. To realize this architecture, this project designs, implements and evaluates a new network architecture that incorporates the following elements: (1) reliable hop-by-hop transport of large files; (2) push-pull architecture for opportunistic delivery of files both to and from the wired network; (3) enhanced naming to provide location information for mobile terminals; and (4) distributed caching of popular content to make peer-to-peer file sharing a first-class service and to enable efficient reliable multicast. The talk will focus on the initial architectural design and protocols, and present some preliminary results. This is work-in-progress. |
Sarit Mukherjee Bell Labs 600 Mountain Avenue Room 2B-305 Murray Hill, NJ 07974 908 582 6883 |
Mobile/DTN |
Mobile Application Acceleration using Always-On Overlay
Wide-area wireless service providers are looking for killer applications to maximize their revenue on high-speed data services. Popular wireline PC-based applications cannot be directly ported to the wireless world as users’ experience and expectation from a mobile handset differ significantly from that of a PC. Both the wireless network (e.g. high latency links) and the mobile devices (e.g., limited I/O capabilities) are responsible for this. In this talk we will discuss the problems currently faced by the wireless service providers in deploying new applications for high-speed data services, and then propose our always-on overlay solution that can address those problems for a variety of applications. We will provide experimental results showing the improvement achieved by our solution based on the multi-party mobile gaming application. We will discuss the hindrances we faced in conducting such experiments and will outline how GENI can help in this. |
Marco Gruteser WINLAB Rutgers, The State University of New Jersey Technology Centre of New Jersey 671 Route 1 South North Brunswick, NJ 08902-3390 732-932-6857 Ext. 649 |
Vehicular Networks |
Evaluating Location-Aware Networking and its Vehicular Applications on the Planned GENI Facility
Using location information to optimize wireless networks has emerged as a powerful approach to scale capacity in high density or high mobility systems. Geographic routing replaces Internet addresses with geographic coordinates; it gains significantly by reducing the overhead of maintaining or acquiring network topology information in addition to reducing the size of routing tables. Location-awareness and geographic routing can be used to support vehicular applications such as content delivery or safety, as well as a broad range of location-aware mobile computing applications. A basic research issue is that of evaluating the scalability of geographic routing in realistic large-scale deployments, and comparing the performance with more conventional overlay approaches. Location services, location-aware protocols, and underlying vehicle-to-vehicle MAC protocols supporting these applications have to date been primarily studied through simulation models. The talk will outline these location architecture components and discuss requirements for the planned GENI facility to enable experimentation with such approaches at scale. |
Brian Levine Department of Computer Science University of Massachusetts at Amherst Room 346 Computer Science Research Building 140 Governors Drive Amherst, MA 01003 413-577-0238 |
Vehicular Networks
|
The UMass Amherst Diverse Outdoor Mobile Environment (DOME)
The Diverse Outdoor Mobile Environment (DOME) is testbed in three parts. The first, called DieselNet, consists of 40 public transport buses that roam from our campus each day, sparsely covering a 150 square mile area. Each bus carries a resourceful P6-compatible computer, two 802.11 radios, a GPRS radio, an XTend radio, and a GPS device. The buses route data as they pass each other on the road, as they pass open APs found in the wild, as they pass through a dense and limited range municipal wireless network that we co-manage, and as they pass stationary "throwboxes". The stationary nodes are solar and battery powered and use a novel multi-tier hardware and power management scheme; they are a UMass design. DieselNet was first operational in May 2004. |
Josh Bers BBN Technologies Mobile Networking Systems Department 10 Moulton Street, Mailstop 6/2d Cambridge, MA 02138 617-873-4262 |
Sensor Nets |
Urban Sensor Networks – Experience with Deployment Abstract to be added
|
Brian Levine Department of Computer Science University of Massachusetts at Amherst Room 346 Computer Science Research Building 140 Governors Drive Amherst, MA 01003 413-577-0238 |
Sensor Nets |
TurtleNet and Underwater Acoustic Network Projects
As part of the UMass DOME project, TurtleNet is a deployed testbed of sensor-equipped wood and snapper turtles. The sensor platform consists of a Crossbow Mica2Dot, a GPS receiver, a flexible solar panel, and a small 250mAhr lithium polymer battery, which is within the acceptable weight and size requirements for studying these animals. Our goals address both networking and energy management problems that are fundamental to sensor networking. A third part of DOME focuses on underwater acoustic networks. Using a platform based on micromodems and gumstixs, we plan to deploy a disruption-tolerant network as part of a recently formed, multi-institution effort that supports an underwater testbed located at Woods Hole Oceanographic Institute in Cape Cod. The project addresses the problems unique to underwater environments while seeking to leverage our terrestrial protocols and experience. The DOME project is co-led by Brian Levine and Mark Corner at UMass Amherst. |
Matt Welsh School of Engineering and Applied Sciences Harvard University 233 Maxwell Dworkin 33 Oxford Street Cambridge, MA 02138 617-495-3311 |
Sensor Nets |
Experiences with a Volcano Monitoring Sensor Network
Although monitoring active volcanoes may seem out of scope for most of the GENI efforts, can still learn from field deployments of wireless sensors in harsh and remote environments. In this case, we deployed 16 sensors on Volcan Reventador in Ecuador, monitoring seismic and acoustic activity for hundreds of earthquakes over a three-week period. The high data rates, reliable data transfer, and precise timing requirements of this application forced us to address several fundamental limitations of the current generation of wireless sensor platforms. We also conducted the first extensive science-centric evaluation of the data collected by a sensor network. This talk will highlight some of the challenges and focus areas for future work. |
Manish Parashar WINLAB, Rutgers University Department of Electrical and Computing Engineering 94 Brett Road Piscataway, NJ 08854 732-445-5388 |
Sensor Nets |
Pervasive Computational Ecosystems
Emerging wireless ecosystem are rapidly leading to a revolution in the type and level of instrumentation of natural and engineered systems. Together with the national cyber infrastructures, this is resulting in a pervasive computational ecosystem that integrates sensors, actuators and instruments with traditional computing, communication and data resources. This, in turn, is giving rise to a new paradigm for monitoring, understanding, and managing natural and engineered systems -- one that is information/data-driven and that symbiotically and opportunistically combines computations, experiments, observations, and real-time information to model, manage, control, adapt, and optimize. Application areas including crisis management, homeland security, personal healthcare, prediction and management of natural phenomenon, monitoring and managing engineering systems, optimizing business processes, etc. In this talk I will highlight the challenges and requirements of formulating, implementing developing and managing these applications. |
Jonathan Smith University of Pennsylvania CIS Department Levine Hall 3330 Walnut Street Philadelphia, PA 19104-6389 215-898-9509 |
Cognitive Radio |
Distributed Cognitive Radio
The interaction amongst cognitive radios can lead to challenging control problems, but it also presents a variety of opportunities for cognitive collaborations. When multiple radios collaborate in achieving shared objectives, surprising advantages accrue, particularly in the urban environment. This results from remapping tasks to the appropriate radio in the face of challenging RF channel conditions, as well as the considerable flexibility exhibited by a cognitive radio. Many of the collaborative advantages can be analyzed in terms of location, and we introduce the concept of "mobility gain" to quantify it. We speculate that active optimization of mobility gain may prove promising. |
John Strassner Motorola Labs 1301 East Algonquin Road Mail Stop IL02-2240 Schaumburg, IL 60196 847-576-2183 |
Cognitive Radio |
Realizing Seamless Mobility Using Cognitive Radio and Autonomic Principles
Existing wireless networks have little in common, as they are designed around vendor-specific devices that use specific radio access technologies to provide particular functionality. Next generation networks seek to integrate wide-area and local-area wireless systems in order to provide seamless services to the end user. This would provide freedom of movement between indoor/outdoor and metropolitan/enterprise coverage while maintaining continuity of applications experience. Cognitive Networks and Software Defined Radio provide some promising alternative. This talk will discuss how these and other requirements can be supported using the FOCALE autonomic networking architecture. |
Victor Bahl Microsoft Corporation One Microsoft Way Redmond, WA 98052 425-936-1021 |
Cognitive Radio |
Towards Cooperative and Cognitive Wireless Networks (title to be updated) Abstract to be added |
Dirk Grunwald University of Colorado at Boulder Department of Computer Science 430 UCB Boulder, CO 80309-0430 303-492-0452 |
Platform Technology |
Experience with an In-situ Wireless Network with Directional Antennas Abstract to be added |
Ivan Seskar WINLAB, Rutgers University Technology Center of NJ 671 Route 1 South North Brunswick, NJ 08902 732-932-6857 |
Platform Technology |
Virtualization for Support of Multiple Experiments on the ORBIT Radio Grid
This talk will provide an overview of several wireless virtualization methods which have recently been prototyped on the ORBIT radio grid at WINLAB. The techniques discussed include virtual AP (VAP), SDMA, FDMA and TDMA. Modifications to the ORBIT control software components such as Node Handler, Node Agent are described and a new Grid Resource Manager for supporting virtualization is outlined. Recent proof-of-concept results are summarized and demonstrated. |
Suman Banerjee 1210 West Dayton Street Department of Computer Sciences University of Wisconsin Madison, WI 53706 608-262-7387 |
Platform Technology |
Wireless Virtualization of an 802.11 Network: The Time-Division Multiplexing Approach
We describe the time-division approach to virtualizing an 802.11 wireless network to multiplex concurrent experiments. Our initial implementation uses User Mode Linux to demonstrate the feasibility and performance of this technique. Our implementation has been done using ORBIT hardware and extends its basic management functions to realize the gains of such virtualization approach. |
Ashutosh Sabharwal 6100 Main St, MS380 |
Platform Technology |
At-scale Programmable Wireless Testbeds
We outline the requirements for at-scale programmable testbeds to enable clean-slate designs of wireless networks. Key issues of deployment, large user base and platform flexibility will be discussed in detail.
|
GENI WWG Members and other confirmed attendees |
|
Elizabeth Belding-Royer University of California Department of Computer Science Santa Barbara, CA 93106 805-893-3411 |
Larry Peterson Department of Computer Science Princeton University 35 Olden Street Princeton, NJ 08544 609-258-6077 |
Chip Elliott BBN Technologies 10 Moulton Street Break out session chair Cambridge, MA 02138 |
Dipankar Raychaudhuri WINLAB, Rutgers University 73 Brett Road Piscataway, NJ 08854-8060 Workshop organizer 732-445-0877 |
Joseph Evans Electrical Engineering and Computer Science The University of Kansas 2048 Eaton Hall Co-organizer and 1520 West 15th Street Break-out session chair Lawrence, KS 66045-7621 785-864-4830 |
Sampath Rangarajan NEC Laboratories, Inc. 4 Independence Way, Suite 200 Princeton, NJ 08540 609-951-2955 |
Mario Gerla UCLA Computer Science Department 3732F Boelter Hall Los Angeles, CA 90095-1596 Break out session chair 310-825-4367 |
Srinivasan Seshan School of Computer Science Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213-3891 Tel: 412-268-8734 |
Jim Kurose Department of Computer Science University of Massachusetts Amherst, MA 01003 Break out session chair 413-545-1585 |
Wade Trappe WINLAB/Rutgers University 73 Brett Road Piscataway, NJ 08854-8060 732-445-0611 |
Allison Mankin The National Science Foundation 4201 Wilson Boulevard Arlington, Virginia 22230 703-292-8950 |
J.P. Vasseur |
Workshop Dinner
University Inn and Conference Center
Directions to University Inn and Conference Center:
Take Route 1 North to the second exit for Ryder’s Lane going toward New Brunswick. Proceed through the traffic light. A short distance after the light, you will pass Cobb Road on your right and then two houses on the right. The road will begin to curve to the left. Do not take that curve but drive straight ahead into the entrance to the Inn and turn left into the parking lot.