Technologies and networks supporting maritime wireless mesh communications

Manoufali, Mohamed; Alshaer, Hamada; Kong, Peng‐Yong; Jimaa, Shihab

doi:10.1109/wmnc.2013.6549005

Cited by 22 publications

(12 citation statements)

References 14 publications

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“…They conclude that DYMO performs better than DSR. For the marine environment, Manoufali, et al provided a detailed research study on maritime communication technologies to achieve reliable and resilient maritime wireless mesh networks [4]. Comprehensive guidelines were outlined to critically assess the different deployed maritime communications networks, and identify the milestones in the process of developing maritime wireless mesh networks (MWMNs).…”

Section: Introductionmentioning

confidence: 99%

An IOT-enabled System for Marine Data Aquisition and Cartography

Al-Zaidi

Woods

Al-Khalidi

et al. 2017

TNC

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Current satellite communication remains very expensive and impractical for most small to mid-sized vessels, and at the same time marine wireless networking is lack of network coverage. To solve this problem, this paper proposes a novel IOT (Internet of Things) enabled system for marine data acquisition and cartography based on Ship Ad-hoc Networks (SANET's). Ships are equipped with Very High Frequency (VHF) radios and several sensors such as sea depth, temperature, wind speed and direction, etc. The collected sensory data is sent to 5G edge clouds incorporated at sink/base station nodes on shore, and ultimately aggregated at a central cloud on the internet to produce up to date cartography. The routing protocols deployed are DSDV (Destination-Sequenced Distance Vector), AODV (Ad hoc On-Demand Distance Vector), AOMDV (Ad hoc On-Demand Multipath Distance Vector) and DSR (Dynamic Source Routing) protocols, which are very popular in Mobile Ad-hoc Networks (MANET's) and compatible with multi hop routing environments and scalability towards increased traffic and mobility. Simulation results verify the feasibility and efficiency of the proposed system that has packet delivery rates of up to 80% at shore base stations.

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Section: Introductionmentioning

confidence: 99%

An IOT-enabled System for Marine Data Aquisition and Cartography

Al-Zaidi

Woods

Al-Khalidi

et al. 2017

TNC

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“…With the emergence of maritime surveillance systems and networks , researchers have envisaged the notion of vision sensor nodes, giving rise to camera sensor networks (CSNs), which are the main focus of engineers yearning to turn conventional surveillance systems and networks into easy to deploy, operate and dismantle sensor nodes. In wireless sensor networks (WSNs), a scalar phenomena can be traced using thermal or acoustic sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Effect of realistic sea surface movements in achieving full‐view coverage camera sensor network

Manoufali

Kong

Jimaa

2015

Int J Communication

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Summary In stationary camera sensor networks (CSNs), when the deployment characteristics and sensing models are defined, the coverage can be deduced and remain unchanged over time. However, in the maritime environment, the rough and random sea condition can move CSN from the initial location. We envisage that camera sensors are mounted on quasi‐mobile platforms such as buoys. Hence, it is important to understand the effect of realistic sea surface movements in achieving full‐view coverage because in full‐view coverage, target's facing direction is taken into account to judge whether a target is guaranteed to be captured because image shot at the frontal viewpoint of a given target considerably increases the possibility to detect and recognize the target. To accurately emulate the maritime environment, the movement of the buoy, which is attached with a cable that is nailed at the sea floor, has been characterized based on the sea wave that is created by the wind, and it is limited by the cable. The average percentage of full‐view coverage has been evaluated based on different parameters such as equilateral triangle grid length, sensing radius of camera, wind speed and wave height. Furthermore, a method to improve the target detection and recognition has been proposed in the presence of poor link quality using cooperative transmission with low power consumption. In some parameter scenario, the cooperative transmission method has achieved around 70% improvement in the average percentage of full‐view coverage of a given target and total reduction of around 13% for the total transmission power PTotal(Q). Copyright © 2015 John Wiley & Sons, Ltd.

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“…[1,2] have become a basic need in dayto-day communication. For providing these network services more effectively, wireless mesh network (WMN) [3][4][5][6] has turned into a popular topology that builds high performance infrastructures. Moreover, with the growth of network services, several types of network communication threats are coming into existence.…”

Section: Introductionmentioning

confidence: 99%

Resilient Packet Transmission (RPT) for Buffer Based Routing (BBR) Protocol

Rathee¹,

Rakesh²

2014

J Inf Process Syst

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To provide effective communication in the wireless mesh network (WMN), several algorithms have been proposed. Since the possibilities of numerous failures always exist during communication, resiliency has been proven to be an important aspect for WMN to recover from these failures. In general, resiliency is the diligence of the reliability and availability in network. Several types of resiliency based routing algorithms have been proposed (i.e., Resilient Multicast, ROMER, etc.). Resilient Multicast establishes a two-node disjoint path and ROMER uses a credit-based approach to provide resiliency in the network. However, these proposed approaches have some disadvantages in terms of network throughput and network congestion. Previously, the buffer based routing (BBR) approach has been proposed to overcome these disadvantages. We proved earlier that BBR is more efficient in regards to w.r.t throughput, network performance, and reliability. In this paper, we consider the node/link failure issues and analogous performance of BBR. For these items we have proposed a resilient packet transmission (RPT) algorithm as a remedy for BBR during these types of failures. We also share the comparative performance analysis of previous approaches as compared to our proposed approach. Network throughput, network congestion, and resiliency against node/link failure are particular performance metrics that are examined over different sized WMNs.

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Technologies and networks supporting maritime wireless mesh communications

Cited by 22 publications

References 14 publications

An IOT-enabled System for Marine Data Aquisition and Cartography

An IOT-enabled System for Marine Data Aquisition and Cartography

Effect of realistic sea surface movements in achieving full‐view coverage camera sensor network

Resilient Packet Transmission (RPT) for Buffer Based Routing (BBR) Protocol

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