- RESEARCH PROJECTS (Copyright @ 2003 PARADISE RESEARCH LABORATORY)
[A] Large-Scale Distributed Simulation Systems and Distributed Collaborative Virtual
[B] Wireless Ad-Hoc/Sensor Networks for Emergency Prepardeness and Responses
Class of Applications
[C] Synchronization Protocols for Wireless Multimedia Systems
[D] Algorithms and Protocols for 3D Multimedia over Wireless Networks
[E] Design and Implementation of A Distributed and Mobile File System For Emergency
Prepardeness and Responses Class of Applications
[F] Integrating Service-Oriented Architectures (SOA), Grids, and Wireless Sensor Actor
[G] Integrating Service-Oriented Architectures (SOA) and Grid Based System
for Large-Scale Distributed Simulations
[A] Large-Scale Distributed Simulation and Collaborative Virtual Environment
- PROJECT A1: Algorithms and Protocols for Large-Scale Distributed Simulation Systems
- PROJECT A2: Scalable Interactive Simulation-Based Technology for Distributed Collaborative Virtual Environments
[B] Wireless Ad-Hoc/Sensor Networks for Emergency Prepardeness and Responses Class of Applications
- PROJECT B1: DefaultSENS : Design of Fault-Tolerant Wireless Sensor Protocols for Security, Surveillance and Critical Conditions Monitoring of
Context Aware Physical Monitoring of Context Aware Physical Environments
- PROJECT B2: SecureSENS: Design of Secure Wireless Ad Hoc and Sensor Networks
- PROJECT B3: CrossMesh : Cross-Layers optimization Techniques for Wireless Mesh Networks
PROJECT 1: DefaultSENS : Design of Fault-Tolerant Wireless Sensor Protocols for Security Surveillance and Critical Conditions Monitoring of Context Aware Physical environments
Funded by: NSERC-Strategic Program, Cistel Inc., NRC, and LifePrediction Inc.
For More Information, Please Contact Prof. A. Boukerche
Copyright @ 2005 PARADISE RESEARCH LABORATORY
Objectives: In this project, we focus upon applications that require fine-grain monitoring of physical environments subjected to critical conditions, such as fire, leaking of toxic gases and explosions. These scenarios pose a great challenge to sensor network protocols which must provide a fast, reliable, fault-tolerant and energy-aware channel for events diffusion, which meet the requirements of query-based, event-driven and periodic sensor networks application scenarios . These requirements have to be met even in the presence of emergency conditions that can lead to node failures and path disruption to the central controller (which we refer to as a sink).
One of the most appealing applications, we will concentrate on in this project, is the design of a reliable and fault-tolerant wireless sensor network, and a web-based security surveillance and critical conditions monitoring of context aware physical environments}. In such situations, it is important that information be sensed from the physical environment while the emergency state is in progress, since more precise information can be used by security and rescue teams, for operation management and improved strategic decisions. However, in order to keep the information flowing from the sensors, during the emergency, a wireless sensor network solution has to cope with the failure of sensor nodes (sensors can be burnt, can have their propagation jeopardized by interferences, such as water or dense smoke present in the environment, and/or can be malfunctioning, etc). Thereby, wireless sensor network solutions for such environments have to be fault-tolerant and reliable, and provide low latency , and provide fast reconfiguration and energy saving capabilities.
Moreover, energy saving and fault tolerance support can present conflicting interests when more paths involving inactive nodes, have to be quickly set up due to node failures in previous paths.
Summary : The short and long term objectives of this research project are:
- 1) To develop a novel a query-based and periodic-based wireless sensor infrastructure that will be used to design the energy-aware, Low-latency and fault-tolerant wireless sensor protocols for security surveillance, supervision and monitoring critical conditions in physical environments.
- 2) To develop a novel class of energy-aware and fault-tolerant and low latency protocols for data propagation in wireless sensor networks that meets sensor networks requirements for surveillance and critical conditions supervision in context aware physical environments
- 3) To enhance our protocols by adding the location and context awareness while monitoring critical conditions.
- 4) To implement the above protocols and evaluate their performance using realistic models.