Scalable Location Aware Monitoring

overview	-	SLAM project description
papers	-	SLAM documents
projects	-	Projects part of SLAM
prototypes	-	Proof of concept prototypes: SLAM applications
people	-	who are we?
funding	-	who sponsors SLAM?

Overview

SLAM is a scalable location-aware computational network architecture integrating millions of real-world sensors with actuators and software applications. SLAM will enable a broad variety of novel monitoring and control applications including rapid disaster response, traffic management, network monitoring, and many others.

Papers

Hari Balakrishnan, Erik Demaine, Mike Stonebraker, Seth Teller.
ITR: Scalable Location-Aware Monitoring (SLAM) Systems.
[ps],[pdf]

Projects within SLAM

The SLAM architecture has several components, which we address in separate projects:

Cricket, a ubiquitous and precise location infrastructure. No current location-sensing technology works everywhere in all places and at all times. Cricket is a novel multi-sensor location architecture to solve this problem, using a combination of RF and ultrasound indoors and at building perimeters, and GPS outdoors. Cricket incorporates self-configuration algorithms and energy-efficient protocols for scalability and longevity.
An activated environment and efficient activation method. SLAM requires that the subject environment be activated with sensors and actuators. Without special attention, the activation process could become unmanageable due to the complexity of the environment. Therefore SLAM provides virtual location-based tagging, typically for immobile objects. The human installer ``affixes'' virtual tags to physical regions or objects by pointing at them with a Cricket-equipped handheld device, triggering an association of a unique identifier and the tagged entity's location and other attributes in a persistent store. This eases environment activation.
Medusa, a scalable network infrastructure connects sensor information and events to software handlers. The network consists of fixed and mobile sensor proxies, physically co-located with the objects and events they monitor, to integrate location, identity, and temporal information to form an event stream. Sensors and their proxies communicate using sensor-specific low-energy communication protocols. Applications are written as event handlers distributed across the network. SLAM provides support for dynamically distributing handlers across proxies and compute servers, routing events to handlers, and performing query processing operations.

Prototypes - SLAM Applications

We have developed several SLAM applications as proof of concept prototypes. Each application exercices different features of our system and builds on top of different subsets of technologies which are part of SLAM:

People

Faculty:

Graduate Students:

Daniel Abadi
Magdalena Balazinska
Jiawen Chen
MohammadTaghi Hajiaghayi
Bret Hull
Allen Miu
Patrick Nichols
Nissanka Bodhi Priyantha

Alumni/ae:

Jason Bell
Hiroyoshi Iwashima
Jon Salz
Kwok Lee Tang
Richard Tibbets

Funding

This material is based upon work supported by the National Science Foundation under Grant No. 0205445. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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M. I. T. Computer Science and Artificial Intelligence Laboratory · 32 Vassar Street · Cambridge, MA 02139 · USA