Abstract
We investigate the properties of data collection in wireless sensor networks, in terms of both capacity and power allocation strategy. We consider a scenario in which a number of sensors observe a target being estimated at fusion center (FC) using minimum mean-square error (MMSE) estimator. Based on the relationship between mutual information and MMSE (I-MMSE), the capacity of data collection in coherent and orthogonal multiple access channel (MAC) models is derived. Considering power constraint, the capacity is derived under two scenarios: equal power allocation and optimal power allocation of both models. We provide the upper bound of capacity as a benchmark. In particular, we show that the capacity of data collection scales as Θ((1/2)log(1+L)) when the number of sensors L grows to infinity. We show through simulation results that for both coherent and orthogonal MAC models, the capacity of the optimal power is larger than that of the equal power. We also show that the capacity of coherent MAC is larger than that of orthogonal MAC, particularly when the number of sensors L is large and the total power P is fixed.
Highlights
Wireless sensor networks (WSNs) consisting of a large number of nodes are usually deployed in a large region for many applications, such as surveillance, security, and environmental monitoring
We focus on deriving capacity of data collection for random networks under coherent and orthogonal multiple access channel (MAC) scenario based on equality of mutual informationminimum mean-squared error estimation (I-minimum meansquare error (MMSE))
We studied the capacity of data collection in wireless sensor networks by considering power allocation strategy
Summary
Wireless sensor networks (WSNs) consisting of a large number of nodes are usually deployed in a large region for many applications, such as surveillance, security, and environmental monitoring. Another important property of many WSNs is their stringent power constraint. We focus on deriving capacity of data collection for random networks under coherent and orthogonal MAC scenario based on equality of mutual informationminimum mean-squared error estimation (I-MMSE). As the coherent MAC model, we derive optimal power allocation strategy for the case where the capacity is maximized under certain power constraints.
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