A Multiple Rendezvous Multichannel MAC Protocol for Underwater Sensor Networks

Chao, Chih–Min; Wang, Yao-Zong

doi:10.1109/wcnc.2010.5506099

Cited by 20 publications

(20 citation statements)

References 19 publications

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“…The advantage of this protocol is its ability to increase the throughput; furthermore, it is very comfortable in large networks. Multiple-rendezvous Multichannel MAC (MM-MAC) [29] was developed in 2010. In this mechanism, the cyclic quorum approach was used to reduce the probability of collisions in underwater communication; it increased the performance in multi-hop underwater wireless sensor networks.…”

Section: Contension Based Mac Protocol Designmentioning

confidence: 99%

Multi-Media and Multi-Band Based Adaptation Layer Techniques for Underwater Sensor Networks

Yum

et al. 2019

Applied Sciences

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In the last few decades, underwater communication systems have been widely used for the development of navy, military, business, and safety applications, etc. However, in underwater communication systems, there are several challenging issues, such as limitations in bandwidth, propagation delay, 3D topology, media access control, routing, resource utilization, and power constraints. Underwater communication systems work under severe channel conditions such as ambient noise, frequency selectivity, multi-path and Doppler shifts. In order to collect and transmit the data in effective ways, multi-media/multi-band-based adaptation layer technology is proposed in this paper. The underwater communication scenario comprises of Unmanned Underwater Vehicles (UUVs), Surface gateways, sensor nodes, etc. The transmission of data starts from sensor nodes to surface gateway in a hierarchical manner through multiple channels. In order to provide strong and reliable communication underwater, the adaptation layer uses a multi-band/multi-media approach for transferring data. Hence, in this paper, existing techniques for splitting the band such as Orthogonal Frequency-Division Multiple Access (OFDMA), Frequency-Division Multiple Access (FDMA), or Orthogonal Frequency-Division Multiplexing (OFDM) are used for splitting the frequency band, and the medium selection mechanism is proposed to carry the signal through different media such as Acoustic, Visible Light Communication (VLC), and Infrared (IR) signals in underwater. For the channel selection mechanism, two phases are involved: 1. Finding the distance of near and far nodes using Manhattan method, and 2. Medium selection and data transferring algorithm for choosing different media.Due to the constrained conditions underwater, communication systems face problems such as multi-path, frequency fading, doppler shifts, etc. Multi-band techniques can be used as an effective technique with respect to efficiency and throughput, and to increase the performance level. Multi-band can overcome the frequency fading problem by allotting the same information to several frequency-bands. Need of Multi-Media Communication Techniques UnderwaterIn order to get reliable communication underwater, multi-media techniques can be used. The network architecture of underwater communication includes an underwater area network, a surface area network, and a terrestrial area network. The underwater area network supports acoustic, optical, and MFAN communication; the terrestrial and surface area network consists of RF communication and the internal communication portal is TCP/UDP. In order to avoid interference and data loss, and to decrease the error rate and increase reliability, a four-in-one adaptable modem should be designed. So, different channels can be adapted in underwater communication systems. Thus, the communication system can be more effective and reliable. Also, multi-media communication systems can avoid collisions. Benefits of Multi-Media/Multi-Band Communication Techniques Underwater Acoustic Comm...

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Section: Contension Based Mac Protocol Designmentioning

confidence: 99%

Multi-Media and Multi-Band Based Adaptation Layer Techniques for Underwater Sensor Networks

Yum

et al. 2019

Applied Sciences

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“…Minimizing the amount of data replication in a distributed system, while maintaining efficient all-pairs algorithm operation, is a recurring theme in this classification of algorithms. Quorum systems are commonly used for coordination and mutual exclusion in distributed systems [9], [10]. Their decentralized approach and slow quorum growth rate compared to the system size are two of the reasons that make them a good tool in managing replicated data [11].…”

Section: Relaxing the All Elements Present Requirementmentioning

confidence: 99%

Scaling Distributed All-Pairs Algorithms

Kleinheksel

Somani

2016

Lecture Notes in Electrical Engineering

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Abstract. In this paper we propose and prove that cyclic quorum sets can efficiently manage all-pairs computations and data replication. The quorums are O(N/√P) in size, up to 50% smaller than the dual N/√P array implementations, and significantly smaller than solutions requiring all data. Implementation evaluation demonstrated scalability on real datasets with a 7x speed up on 8 nodes with 1/3 rd the memory usage per process. The all-pairs problem requires all data elements to be paired with all other data elements. These all-pair problems occur in many science fields, which has led to their continued interest. Additionally, as datasets grow in size, new methods like these that can reduce memory footprints and distribute work equally across compute nodes will be demanded.

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“…To the second branch belong protocols proposed for a multichannel Medium Access Control (MAC) handling multi -rendezvous [9] (i.e., multiple transmissions pairs can accomplish handshaking simultaneously), missing receiver problem [10] or medium allocation in a hostile and jamming environment [11]. All these protocols are based on cyclic quorum systems.…”

Section: Related Workmentioning

confidence: 99%

Asynchronous Rendezvous Protocol for Cognitive Radio Ad Hoc Networks

et al. 2013

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Abstract. This paper proposes a rendezvous protocol for Cognitive Radio Ad Hoc Networks, RAC 2 E-gQS, which (1) utilizes the asynchronous and randomness properties of the RAC 2 E protocol and (2) grid Quorum System-based channel mapping (gQ-RDV) protocol taking into account channel heterogeneity. We show that the combination of the RAC 2 E protocol with the grid-quorum based channel mapping can yield a powerful RAC 2 E-gQS rendezvous protocol for asynchronous operation in a distributed environment assuring a rapid rendezvous between the cognitive radio nodes.

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A Multiple Rendezvous Multichannel MAC Protocol for Underwater Sensor Networks

Cited by 20 publications

References 19 publications

Multi-Media and Multi-Band Based Adaptation Layer Techniques for Underwater Sensor Networks

Multi-Media and Multi-Band Based Adaptation Layer Techniques for Underwater Sensor Networks

Scaling Distributed All-Pairs Algorithms

Asynchronous Rendezvous Protocol for Cognitive Radio Ad Hoc Networks

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