Abstract
A wireless sensor network (WSN) deployed for detection applications has the distinguishing feature that the sensors cooperate to perform the detection task. Therefore, the decoupled and maximum throughput design approaches typically used to design communication networks do not lead to the desired optimal detection performance. Recent work on decentralized detection has addressed the design of media access control (MAC) and routing protocols for detection applications by considering independently the quality of information (QoI), channel state information (CSI), and residual energy information (REI) for each sensor. However, little attention has been given to integrate the three quality measures (QoI, CSI, and REI) in the system design. In this work, we present a cross-layer approach to design a QoI, CSI, and REI-aware transmission control policy (XCP) that coordinates communication between local sensors and the fusion center, in order to maximize the detection performance. We formulate and solve a constrained non-linear optimization problem to find the optimal XCP design variables, for both ALOHA and time-division multiple access (TDMA) sensor networks. We show the detection performance gain compared to the typical decoupled and maximum throughput design approaches, without utilizing additional network resources. We compare ALOHA and TDMA MAC schemes and show the conditions under which each transmission scheme outperforms.
Highlights
The deployment of wireless sensor networks (WSNs) in decentralized detection applications is motivated by the availability of low-cost sensors with computational capabilities, combined with advances in communication network technologies
We focus on the case where sensor nodes cannot communicate with each other to form a multihop network to the fusion center, e.g., radio-frequency identification (RFID) sensors communicating to an RFID reader
8 Conclusion In this paper, we pursued a cross-layer, model-based approach to design a single-hop ALOHA and time-division multiple access (TDMA) WSNs deployed for detection applications
Summary
The deployment of wireless sensor networks (WSNs) in decentralized detection applications is motivated by the availability of low-cost sensors with computational capabilities, combined with advances in communication network technologies. Cooperative MAC, where individual sensor transmissions are superimposed in a way that allows the fusion center to extract the relevant detection information, is considered in [14] This approach leads to significant gains in performance when compared to conventional architectures allocating different orthogonal channels for each sensor. We assume that L = mN, where m is a positive integer, i.e., at each detection cycle, all sensors transmit the same number of times This assumption facilitates the comparison with the slotted ALOHA scheme. Equations 21 and 22 represent the ROC curve, which is a function of the detector threshold (γ ), channel drop probabilities (λ), number of successful transmissions for each sensor (z), number of transmission slots (L), and measurement signal-to-noise ratios (μ/σs). The last column classifies each parameter according to its relevant layer in the system model
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