• Title/Summary/Keyword: Ocean Sensor Networks

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Compressed Sensing Based Low Power Data Transmission Systems in Mobile Sensor Networks (모바일 센서 네트워크에서 압축 센싱을 이용한 저전력 데이터 전송 시스템)

  • Hong, Jiyeon;Kwon, Jungmin;Kwon, Minhae;Park, Hyunggon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.11
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    • pp.1589-1597
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    • 2016
  • In this paper, we propose a system in a large-scale environment, such as desert and ocean, that can reduce the overall transmission power consumption in mobile sensor network. It is known that the transmission power consumption in wireless sensor network is proportional to the square of transmission distance. Therefore, if the locations of mobile sensors are far from the sink node, the power consumption required for data transmission increases, leading to shortened operating time of the sensors. Hence, in this paper, we propose a system that can reduce the power consumption by allowing to transmit data only if the transmission range of the sensors is within a predetermined distance. Moreover, the energy efficiency of the overall sensor network can even be improved by reducing the number of data transmissions at the sink node to gateway based on compressed sensing. The proposed system is actually implemented using Arduino and Raspberry Pi and it is confirmed that source data can be approximately decoded even when the gateway received encoded data fewer than the required number of data from the sink node. The performance of the proposed system is analyzed in theory.

$M^2$ MAC: MAC protocol for Real Time Robot Control System based on Underwater Acoustic Communication ($M^2$ MAC(Message Merging): 수중음파통신 기반의 실시간 로봇 제어 시스템을 위한 MAC 프로토콜)

  • Kim, Yung-Pyo;Park, Soo-Hyun
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.6
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    • pp.88-96
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    • 2011
  • Underwater acoustic communication is applicable in various areas, such as ocean data collection, undersea exploration and development, tactical surveillance, etc. Thus, robot control system construction used for underwater-robot like AUV or ROV is essential in these areas. In this paper, we propose the Message Merging MAC($M^2$-MAC) protocol, which is suitable for real time robot control system, considering energy efficiency in important parts of underwater acoustic sensor network constitution. In this proposed MAC protocol, gateway node receives the data from robot nodes according to the time slots that were allotted previously. And messages delivered from base-station are generated to one MAC frame by buffering process. Finally, generated MAC frames are broadcasted to all robot nodes in the cluster. Our suggested MAC protocol can also be hybrid MAC protocol, which is successful blend of contention based and contention-free based protocol through relevant procedure with Maintenance&Sleep (M&S) period, when new nodes join and leave as an orphan. We propose mathematical analysis model concerned about End-to-End delay and energy consumption, which is important factor in constructing real-time robot control system. We also verify the excellence of performance according to comparison of existing MAC protocols with our scheme.

Protocol implementation for simultaneous signal continuation acquisition of industrial plant machine condition in wireless sensor networks (산업플랜트 기계상태 동시신호 연속취득을 위한 무선센서 네트워크프로토콜 구현)

  • Lee, Hoo-Rock;Chung, Kyung-Yul;Rhyu, Keel-Soo
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.7
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    • pp.760-764
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    • 2015
  • Wireless sensors, installed on machinery, and Time Division Multiple Access (TDMA) transmission make an ideal system for monitoring machine conditions in industrial plants because there is no need for electronic wiring. However, there has not yet been a successful field application of such a system, capable of continuously transmitting data at sample rates greater than 100 Hz. In this research, a TDMA network protocol capable of acquiring data from multiple sensors at sample rates greater than 100 Hz was developed for field application. The protocol was implemented in a single cluster-star topology network, and the system was evaluated based on the node number and transmission distance. Network simulator 2 (ns-2) was used for a real field simulation. Non-TDMA and TDMA protocol cases were compared using four sensor nodes. In the cases of 20-s and 40-s transmission times, there was little difference between the reception rates of the non-TDMA and TDMA systems. However, the difference was much greater when using a 60-s transmission time.