On the performance of serial networks in distributed detection

On the Subexponential Decay of Detection Error Probabilities in Long Tandems

“…A plot of the optimal error probability as a function of the number of sensors, for the problem of detecting the presence of a known signal in Gaussian noise. The optimal thresholds for the LLRQs at each sensor are given in [2]. For large n, the plot is almost linear.…”

“…This suggests that a tandem configuration performs worse than a parallel configuration, when n is large. It has been conjectured in [2], [8], [10], [11] that indeed, the rate of decay of the error probability is subexponential. However, a proof is not available.…”

“…1) is considered in [2], [4]- [8] (some of these works do not restrict the message sent by each sensor to be binary). In the case of binary communications, [4] and [8] show that the error probability stays bounded away from zero iff j log d d j B almost surely, for some constant B.…”

Distributed inference in wireless sensor networks

“…In this configuration, the different sensors make observations of the underlying phenomenon and transmit functions of the observations, which could be local decisions, directly to the fusion centre via wireless channels. Another popular structure is the serial, or tandem, topology [10]. In the serial topology, all the sensors are connected in series and receive direct observations of the phenomenon.…”

Grip Force and Slip Analysis in Robotic Grasp: New Stochastic Paradigm Through Sensor Data Fusion

“…Field-sensor outputs in a distributed tracking vis-à-vis surveillance system are categorized in two broad groups, depending on a] the modus operandi or activation syntax (parallel or serial) and b] the physical layout (staggered or synchronous). Unlike the case of distributed decision making in parallel, fusion problem with the configurations of sensors in serial chain (Viswanathan et al, 1988), (Hashemi & Rhodes, 1989) & (Swaszek, 1993) may have better performance over the parallel distribution case for two sensors. However, the methods perform poorly for large sensor-cells, which is the typical case in real-life applications.…”