Communication and computation tradeoffs for a network of intelligent sensors

A linear network of intelligent sensors is examined. The objective is to solve a computational problem in a minimal amount of time. The sensors in the networks can be equipped either with front-end processors for communication off-loading or without front-end processors. The cases of equal division of processing load and optimal division of processing load are discussed for both the network with front-end processors and the network without front-end processors. An example of the inclusion of the solution time, the time taken for sensors to report the solution back to originator, is also presented.<<ETX>>

[1]  R. T. Lacoss,et al.  Distributed Estimation in the MIT/LL DSN Testbed , 1983, 1983 American Control Conference.

[2]  E. Tse,et al.  Distributed hypothesis formation in sensor fusion systems , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[3]  Chee-Yee Chong,et al.  Distributed Estimation in Networks , 1983 .

[4]  E. Tse,et al.  Distributed Estimation in Distributed Sensor Networks , 1982, 1982 American Control Conference.