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In this paper, we analyze and simulate the efficient signal detection algorithm for wireless ad-hoc network based on the cognitive radio (CR) systems. For improvement of the signal detection probability, we use the digital watermarking sequence to the CR based wireless ad-hoc network. In the simulation results, we show the correlation value and the signal detection probability using digital watermarking...
Wake-up radio technology is a means to improve energy efficiency in low-power wireless sensor networks. In such radios, low-power low-complexity designs are considered, often based on narrow-band transmission, simple modulation techniques, noncoherent detection and matched filter receivers. In order to improve the performance of wake-up radios in interference limited scenarios, while keeping the power...
In cognitive radio networks, spectrum sensing is a key technology to detect the presence of the primary user. In this paper, a joint energy and autocorrelation based spectrum sensing algorithm is proposed. The proposed detection algorithm is based on the assumption that the primary user's signal is not white. We compare the performance of the proposed detector and the conventional energy detector...
The demand for wireless communication has grown remarkably in the last year, consequently raising the problem of spectrum scarcity. In this context, cognitive radio is an emerging technology that aims to overcome that scarcity, which is one of the most challenging problems in modern wireless communication. Among its fundamental function, the most important is the spectrum sensing which require precise...
The demand for wireless communication has grown remarkably in the last year, consequently raising the problem of spectrum scarcity. In this context, cognitive radio is an emerging technology that aims to overcome that scarcity which is one of the most challenging problems in modern wireless communication. Among its fundamental function, the most important is the spectrum sensing which require precise...
In this paper, the wireless microphone sensing is addressed for a TV white space communication and we aim to achieve an efficient semi-blind detection of narrowband FM modulation signals. To this end, the proposed solution is to use the Teager-Kaiser energy operator which takes into account the non-linear model of speech. Then, a filterbank based technique splits the analysis of the wideband signal...
In this work, we consider the problem of centralized detection in wireless sensor networks when the sensors transmit coherently through a multiple access channel. We derive the optimal weighting at each sensor that maximizes the error exponent. Firstly, the noiseless case is considered and a closed form solution to the problem is found. Secondly, we generalize the formulation to consider additive...
The event region detection problem was investigated extensively in recent years for wireless sensor network. However, two known real environmental values (i.e., the normal value and the event value) are assumed in the previously proposed event detection schemes, and the optimal threshold is set to be the intermediate value of the real values. In this paper, the fault-tolerant event detection problem...
Sensor networks have major applications in environmental monitoring, relief operations, surveillance, health-care and defense. Future sensor networks would comprise of sensing devices with energy harvesting capabilities from renewable energy sources such as solar power. Multiple sensor nodes deployed in the region of interest would collaborate to achieve a global objective, such as detection of application...
In this paper, a binary hypothesis distributed detection problem in correlated wireless sensor networks with cooperative relays deployment is considered. In particular, the effect of correlation between sensor nodes is modeled and analyzed in Rayleigh flat fading channels in order to explore the natural tradeoffs between the number of sensor/relay nodes and the detection error performance in the network...
Wireless sensor networks consist of a large number sensors spread across a given geographical area. Each sensor has its own communication capability as well as certain level of intelligence for signal processing and networking. As the sensor nodes are densely populated, communication range requirement for these nodes is smaller. After signal detection, a number of sensor nodes communicate over the...
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