Remote surveillance espionage through MANT-app

Author(s):  
Archita Ray ◽  
A. Sriram ◽  
Veluri Mithun ◽  
Nirbhay Sharma
Keyword(s):  
2006 ◽  
Author(s):  
Bertrand C. Theuveny ◽  
Rajiv Kumar Sagar ◽  
Alexandre Kosmala ◽  
Mike Donovan

Author(s):  
Nikhil Karamchandani ◽  
Massimo Franceschetti

The throughput of delay-sensitive traffic in a Rayleigh fading network is studied by adopting a scaling limit approach. The case of the study is that of a pair of nodes establishing a data stream that has routing priority over all the remaining traffic in the network. For every delay constraint, upper and lower bounds on the achievable information rate between the two endpoints of the stream are obtained as the network size grows. The analysis concerns decentralized schemes , in the sense that all nodes make next-hop decisions based only on local information, namely their channel strength to other nodes in the network and the position of the destination node. This is particularly important in a fading scenario, where the channel strength varies with time and hence pre-computing routes can be of little help. Natural applications are remote surveillance using sensor networks and communication in emergency scenarios.


Author(s):  
Kyan C. Safavi ◽  
Hao Deng ◽  
William Driscoll ◽  
Milcho Nikolov ◽  
Kalpan Tolia ◽  
...  

2009 ◽  
Vol 32 (7) ◽  
pp. 928-939 ◽  
Author(s):  
MICHAEL V. ORLOV ◽  
TAMAS SZOMBATHY ◽  
G. MUQTADA CHAUDHRY ◽  
CHARLES I. HAFFAJEE

2020 ◽  
Vol 131 (2) ◽  
pp. e112-e113 ◽  
Author(s):  
Ajay Singh ◽  
B. Naveen Naik ◽  
Shiv Lal Soni ◽  
G. D. Puri

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jane Frankland ◽  
Hazel Brodie ◽  
Deborah Cooke ◽  
Claire Foster ◽  
Rebecca Foster ◽  
...  

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 178
Author(s):  
Yong Wang ◽  
Ranran Zhou ◽  
Zhenyue Liu ◽  
Bingbo Yan

A low-power wireless acoustic sensing platform for remote surveillance applications based on a 180 nm CMOS technology is proposed in this paper. The audio signal, which is acquired by a microphone, is first amplified and filtered. Then, the analog signal is converted to a digital signal by a 10-bit analog-to-digital converter (ADC). A digital automatic gain control module is integrated to obtain an optimal input of the ADC. The digital signal is modulated and transmitted at the 433 MHz ISM band after being repacked and encoded. To save power for portable applications, the chip switches to standby mode when no audio is detected. The wireless sensing platform occupies a chip area of 1.76 mm 2 . The supply voltage is 2.5 V for the power amplifier and 1.8 V for other circuits. The measured maximum output power is 5.7 dBm and the transmission distance is over 500 m for real application scenarios. The chip consumes 25.1 mW power in normal work mode and 0.058 mW in standby mode. Compared to existing wireless acoustic sensors, the proposed wireless acoustic sensing platform can achieve features such as compactness, power efficiency, and reliability.


Author(s):  
Kazuaki Kondo ◽  
Yasuhiro Mukaigawa ◽  
Toshiya Suzuki ◽  
Yasushi Yagi

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