Channel Modeling of Information Transmission Over Cognitive Interrogator-Sensor Networks

Abstract

Abstract-This paper looks into the modeling of information transmission over cognitive interrogator-sensor networks (CISNs), which represent a novel and important class of sensor networks deployed for surveillance, tracking, and imaging applications. The crux of the problem is to develop a channel model that allows for the evaluation of the sensing channel capacity and error rate performance in CISNs, for which the sensing link is overlaid by the communication link. First, the layered discrete memoryless channel and finite-state Markov channel models are identified as useful tools to capture the essence of information transfer over the communication and sensing links in CISNs. Two different sensor encoding strategies, namely, 1) the amplify-modulate-and-forward (AMF) and 2) decode-modulate-and-forward (DMF) schemes, are considered. Subsequently, the concepts of double-directional channel capacity azimuth spectrum (CCAS) and Chernoff information azimuth spectrum (CIAS) are proposed to facilitate network-level assessment of the communication and sensing link reliability. A study case considering a typical CISN for environmental monitoring, conditioned on different wireless propagation and sensing conditions, is then presented to demonstrate the steps to derive the various model parameters. Finally, the potential applications of the proposed analytical framework in cognitive sensing, network performance assessment, and simulation are briefly discussed.Index Terms-Channel capacity, Chernoff information, cognitive radar (CR), discrete memoryless channel (DMC), double directional, finite-state Markov channel (FSMC), radio-frequency identification (RFID), wireless sensor network (WSN).

Optimization of Spectrum Sensing Schemes in Cognitive Sensor Networks

“…As the CR concept matures, CR networks are now envisioned to support a variety of applications, ranging from the smart grid, public safety and broadband cellular, and medical applications to wireless sensor networks (WSNs) [11,[57][58][59]. For instance, in the aerospace industry, major aircraft manufacturers and many supply research groups have shown strong interest in development and standardization of sensor networks for onboard use within aircraft, e.g., the "Wireless Avionics Intra-Communications (WAIC)" project by the Aerospace Vehicle System Institute.…”

Reciprocally-Benefited Secure Transmission for Spectrum Sensing-Based Cognitive Radio Sensor Networks

“…Therefore, the information in the CRSN can be efficiently and reliably transmitted in the unutilized licensed spectrum. Recently, CRSN has attracted much research attention [13,14,15,16,17,18,19]. An optimal schedule scheme for a sensor-aided energy-efficient cooperative network was designed in [13].…”

“…In [16], the authors analyzed the delay performance and designed two channel switch methods for CRSN. The work [17] investigated the modeling methods for information transmission, and [18] analyzed the spectrum efficiency through a graph-theoretic max-flow framework for CRSN. Spectrum and power allocation and routing were jointly considered to maximize the information rate, as well as the lifetime of CRSN [19].…”

Application‐specific spectrum sensing method for cognitive sensor networks

“…Second, a CSN does not require high bandwidth or high data rate communication links in general, similar to wireless sensor networks (WSNs) [4]. As the CR concept matures, CSNs are now envisioned to support a variety of applications, ranging from smart grid, public safety and broadband cellular, and medical applications to WSNs [4][5][6][7][8][9]. For instance, in the aerospace industry, major aircraft manufacturers and many supply research groups have shown strong interest in development and standardisation of sensor networks for onboard use within aircraft where different applications have various design requirements.…”