Abstract:
A system using cooperative communication with rateless codes is presented that uses communication transmission aspects of cooperative communication with rateless codes over Rayleigh fading channels and queuing aspects for buffering messages at intermediate relays. The system transmits a subsequent message while a current message is en route to the destination by receiving and buffering the current message in queues at intermediate relays. A relay with a best instantaneous communication link to the source may receive a message first and forward the received message to the destination. Alternatively, if inter-relay communication links are strong, all relays may cooperate simultaneously.
Abstract:
A system using cooperative communication with rateless codes is presented that uses communication transmission aspects of cooperative communication with rateless codes over Rayleigh fading channels and queuing aspects for buffering messages at intermediate relays. The system transmits a subsequent message while a current message is en route to the destination by receiving and buffering the current message in queues at intermediate relays. A relay with a best instantaneous communication link to the source may receive a message first and forward the received message to the destination. Alternatively, if inter-relay communication links are strong, all relays may cooperate simultaneously.
Abstract:
Sensors within sensor node networks may communicate bio-event or other types of measurement results/decisions between each other using signal transmission variations. Each sensor node within a network and between networks may transmit and receive signals. A sensor node may scale a signal transmission power in a manner that is proportional to a confidence level of a decision or measurement about an event being detected. Each sensor node will receive transmissions from neighboring nodes, and can refine an estimate about an occurrence of the event at its location based on received signal strengths, for example.
Abstract:
Sensors within sensor node networks may communicate bio-event or other types of measurement results/decisions between each other using signal transmission variations. Each sensor node within a network and between networks may transmit and receive signals. A sensor node may scale a signal transmission power in a manner that is proportional to a confidence level of a decision or measurement about an event being detected. Each sensor node will receive transmissions from neighboring nodes, and can refine an estimate about an occurrence of the event at its location based on received signal strengths, for example.