Abstracts - 2006
Building a High-Quality Mobile Telemedicine System Using Network Striping Over Dissimilar Wireless Wide Area Networks
Asfandyar Qureshi, Jennifer Carlisle & John Guttag
Our overall research project aims to provide advanced remote diagnostic capabilities, using high-bandwidth video, for patients in an ambulance moving about in an urban area . From a computer on a moving ambulance, we want to communicate real-time bi-directional video, bi-directional audio, and multiple uni-directional physiological data streams (EKG, blood pressure, etc).
In order for the telemedicine system we design to be useful, the system must be economically viable to build, deploy and operate. We therefore leverage existing communications infrastructure, instead of using our own network infrastructure to handle the ambulance's requirements. We also build our system out of conventional off-the-shelf components.
We focus on using mobile telemedicine to reduce unnecessary strain placed on emergency medical staff and resources. Of the individuals that utilize emergency medical services (EMS), health care providers have identified two distinct groups. Individuals in the first group do not actually need the services provided by the emergency medical staff, but must still be transported to the hospital due to laws in some states. Their reasons for using EMS transport range from economic factors (a cab driver or other transportation service demands immediate payment where an ambulance bill is easier to defer or not pay), to psychological factors (lonely individuals seeking attention, or hypochondriacs). This group can potentially put an undue strain on the resources of the hospital's emergency department (ED). In some states (e.g., Florida) all emergency callers need to be taken to the hospital and seen by a doctor.
The second group consists of patients who are actually in a medical emergency situation. Presently, during their transport to the hospital, doctors are unable to examine them and EMS first-responders do not have the requisite training. Therefore, there is no way to fully assess the severity or the nature of the injury, until the patient arrives at the ED. This lack of information introduces unnecessary delays at the hospital. If it were possible for physicians to evaluate such patients en-route to the ED, the quality of their care may be improved.
Our goal is to both alleviate the strain on the EMS and ED as well as to improve the quality of care for patients in emergency situations. We plan on deploying a mobile telemedicine system that equips ambulances with an interface to a remote physician. Using the interface, the physician will be able to assess the state of the patient interactively. The system will be a diagnosis tool featuring patient telemetry, and high-quality bi-directionaly audio and video. The telemedicines system will be built upon the network-striping middleware Horde.
We are working towards deploying and evaluating a prototype of this telemedicine system in Orlando, Florida.
Inverse multiplexing, or network striping, allows the construction of a high-bandwidth virtual channel from a collection of multiple low-bandwidth physical channels. Network striping takes data from the source virtual channel and sends it in some order over the smaller physical channels. Although a great deal of past research deals with network striping, many assumptions made by earlier researchers do not hold when striping over unstable and dissimilar network channels, such as cellular Wireless Wide Area Network (WWAN) channels. We have developed the Horde middleware    to allow applications to stripe data over WWAN channels.
Horde is middleware that facilitates flexible striping over WWAN channels. Horde is unusual in that it aims to separate the striping policy from the striping mechanism. It allows applications to describe network Quality-of-Service (QoS) objectives that the striping mechanism attempts to satisfy. Horde can be used by a set of data streams, each with its own QoS policy, to stripe data over a set of WWAN channels. The WWAN QoS variations observed across different channels and in time, provide opportunities to modulate stream QoS through packet scheduling.
Our research leverages the widespread cellular wireless data networks. In most urban areas, a number of public carrier cellular WWANs provide mobile connectivity to the Internet, using standard cellular technologies such as EDGE, CDMA2000 1xRTT and CDMA2000 EV-DO. Notably, these providers have overlapping coverage areas, allowing us to connect to more than one provider at the same time.
Unfortunately, individual WWAN channels have relatively low bandwidths (especially for data uploads) and provide little in the way of network QoS guarantees. Additionally, different WWAN channels can provide very different QoS. Network QoS is affected by the layout of a provider's base-stations relative to the WWAN interface, and by the WWAN technology, both of which vary across providers. Vehicular motion introduces additional complications, depending on the WWAN technology.
The available diversity in present-day WWAN environments in the United States, makes network striping an especially appealing approach. By taking advantage of service provider diversity, overlapping coverage, and network technology diversity, one can attempt to provide each application with the illusion that a reliable stable high-bandwidth channel is available. The existence of technological and provider diversity---a benevolent side-effect of the competitive nature of the cellular provider market---is likely to bolster the virtual channel, making it more reliable. The underlying channels are more independent than if the same technology or the same provider were being used.
A great deal of work has been done on network striping      . Most of this work is aimed at providing improved scheduling algorithms under the assumption that the underlying links are relatively stable and homogeneous. In our environment, however, the underlying links are neither stable nor homogeneous. Therefore, the manner in which the middleware decides to schedule the transmission of application packets can have a large influence on observed packet latencies, stream loss rates, and bandwidth. Furthermore, the application streams in our telemedicine system are heterogeneous with respect to which aspects of the network service they are sensitive: some applications care about average latency, some not; some care about loss more than others; and some care more about the variance of the latency than they do about the average latency.
In our WWAN environment the packet scheduler can modulate application observed QoS on a data stream and different applications can care about very different aspects of this QoS. This leads us to want to give applications some control over how striping is done.
The key technical challenge in Horde is giving applications control over certain aspects of the data striping operation while at the same time shielding the application from low-level details. Horde exports a set of flexible abstractions replacing the application's network stack. Horde allows applications to express their policy goals as succinct network-QoS objectives. Each objective says something, relatively simple, about the sort of network QoS an application would like for some data stream(s).
Horde is most useful when dealing with:
Bandwidth-Limited Applications: Situations in which applications would like to send more data than individual physical channels can support, justify both the network striping operation and the additional processing cost associated with Horde's QoS modulation framework.
Sensitivity to Network QoS: If no application data streams are sensitive to network QoS, Horde's QoS modulation framework becomes redundant.
Heterogeneous and Dynamically Varying Network Channels: With such channels, the striping packet scheduler has an opportunity to significantly modulate application observed QoS. Additionally, Horde's approach is most useful when the available network channels have characteristics that are predictable in the short term. Our experiments have shown that public carrier WWAN channels are of this nature.
Heterogeneous Data Streams: When different streams gain value from different aspects of network performance, trade-offs can be made when allocating network resources among those streams. An example is an application in which some streams value low latency delivery and others value low loss rates.
Horde is not meant to be general networking middleware: as long as most application data can be sent down a single, stable link, using Horde is overkill. More generally, in situations where one is dealing with a fixed set of relatively homogeneous and stable channels, other techniques may be more appropriate.
This research is supported by the National Library of Medicine and MIT.
 Asfandyar Qureshi, Ali Shoeb and John Guttag "Building a High-Quality Mobile Telemedicine System using Network Striping over Dissimilar Wireless Wide Area Networks." In 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, September 2005.