Sensor Networks - An Insight on Market Perspective and Real Time Border Monitoring System
Andhe Dharani,
Manjuprasad B.,
Shantharam Nayak,
Vijayalakshmi M. N.
Issue:
Volume 3, Issue 3, December 2015
Pages:
18-23
Received:
5 September 2015
Accepted:
24 September 2015
Published:
10 October 2015
DOI:
10.11648/j.ijssn.20150303.11
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Abstract: Sensor Networks are the most attractive and emerging research areas in the current market. This growth is due the advanced technology in the sensor, wireless communication and its real time applications like, military, healthcare, industries, agriculture, and retail market. The growth of wireless sensor networks is yet to be increase due the collaborative development of these networks with various emerging advance topics like Internets of Technology, Big Data, Cloud Computing and mainly due to its increasing applications in military sector. This paper aims to highlight the features and important of sensor networks by identifying its needs, current market status, analyzing some of the existing real time border monitoring system and proposes a novel real time border monitoring security system. The current business status of sensor networks will be analyzed for finding out the significance of sensor networks using some statistic data and market reports. This analysis will be cooperative for motivating the researchers to contribute more development in this area. Real time border monitoring system can play a vital role in national security for efficient border monitoring with less human intervention.
Abstract: Sensor Networks are the most attractive and emerging research areas in the current market. This growth is due the advanced technology in the sensor, wireless communication and its real time applications like, military, healthcare, industries, agriculture, and retail market. The growth of wireless sensor networks is yet to be increase due the collab...
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Energy-Efficient WSN Architecture for Illegal Deforestation Detection
Lucian Petrica,
Gheorghe Stefan
Issue:
Volume 3, Issue 3, December 2015
Pages:
24-30
Received:
25 October 2015
Accepted:
3 November 2015
Published:
24 November 2015
DOI:
10.11648/j.ijssn.20150303.12
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Abstract: We present an energy-efficient wireless sensor network (WSN) architecture tailored for illegal deforestation detection. Illegal deforestation is a world-wide problem which may be prevented through improved monitoring of forested areas utilizing sensor networks equipped with chain-saw detection. Additional to detection, we identify sound source localization and sensor node localization as essential features of a deforestation monitoring WSN, and analyze two possible architectures which perform sound source localization with the distributed time difference-of-arrival (TDOA) algorithm and microphone-array based localization respectively. We develop an energy model and evaluate the two architectures. Our results indicate that the microphone array based WSN requires more hardware and is more complex, but is an order of magnitude more energy efficient than the distributed TDOA WSN as it minimizes radio traffic. This improvement in efficiency enables the microphone array equipped WSN to potentially operate for over a year, enabling practical deforestation monitoring with WSNs.
Abstract: We present an energy-efficient wireless sensor network (WSN) architecture tailored for illegal deforestation detection. Illegal deforestation is a world-wide problem which may be prevented through improved monitoring of forested areas utilizing sensor networks equipped with chain-saw detection. Additional to detection, we identify sound source loca...
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