CLAP
Cross Layer Algorithms for Phealth
CLAP deals with monitoring quality of life related parameters. We look at different aspects of community data (e.g. environmental or human) capturing, interpreting and communicating to the outer world, in settings where there is better connectivity among group members than to a core network, such as may be found in OLPC deployment scenarios.
CLAP’s starting point
Cross-layer design optimisation schemes will be considered for the CLAP specific scenarios that would be selected, focusing on the joint design of the routing, MAC, and physical layers constrained by the application scenario to achieve improved performance and longer network lifetime.
Consider, for example, a sensor network deployed for soil quality monitoring or the detection of a specific disease indicator. In these applications, network performance measured by general purpose metrics could give misleading results. Conventional performance metrics such as throughput and delay do not necessarily translate to a performance measure suitable for signal detection and estimation applications. If, on the other hand, performance is measured by application-defined metrics such as for example the miss detection rate, quality of signal, diagnose efficacy, the network lifetime the results will not only be much more reliable, but also very useful for planning and maintenance.
Application-based protocol design for wireless ad hoc sensor networks is a promising and largely unexplored research area. We hope that CLAP will contribute towards it, especially in the rural areas applications environment. Our opinion is that there exist many critical applications for which the strategies developed for conventional wireless sensor networks can be improved in an application specific context.
CLAP’s starting point
Cross-layer design optimisation schemes will be considered for the CLAP specific scenarios that would be selected, focusing on the joint design of the routing, MAC, and physical layers constrained by the application scenario to achieve improved performance and longer network lifetime.
Consider, for example, a sensor network deployed for soil quality monitoring or the detection of a specific disease indicator. In these applications, network performance measured by general purpose metrics could give misleading results. Conventional performance metrics such as throughput and delay do not necessarily translate to a performance measure suitable for signal detection and estimation applications. If, on the other hand, performance is measured by application-defined metrics such as for example the miss detection rate, quality of signal, diagnose efficacy, the network lifetime the results will not only be much more reliable, but also very useful for planning and maintenance.
Application-based protocol design for wireless ad hoc sensor networks is a promising and largely unexplored research area. We hope that CLAP will contribute towards it, especially in the rural areas applications environment. Our opinion is that there exist many critical applications for which the strategies developed for conventional wireless sensor networks can be improved in an application specific context.
CLAP is a joint MIT Media Lab - VIDAVO project funded by EC-FP7-PEOPLE
