Al-Zaidi, Rabab and Woods, John and Al-Khalidi, Mohammad and Ali Alheeti, Khattab M and McDonald-Maier, Klaus (2017) Next generation marine data networks in an IoT environment. In: 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), 2017-05-08 - 2017-05-11, Valencia, Spain.
Al-Zaidi, Rabab and Woods, John and Al-Khalidi, Mohammad and Ali Alheeti, Khattab M and McDonald-Maier, Klaus (2017) Next generation marine data networks in an IoT environment. In: 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), 2017-05-08 - 2017-05-11, Valencia, Spain.
Al-Zaidi, Rabab and Woods, John and Al-Khalidi, Mohammad and Ali Alheeti, Khattab M and McDonald-Maier, Klaus (2017) Next generation marine data networks in an IoT environment. In: 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC), 2017-05-08 - 2017-05-11, Valencia, Spain.
Abstract
Packet data networks at sea offer the potential for increased safety, connectivity and meteorological data acquisition. Existing solutions including satellite communication are expensive and prohibitive to most small vessels. In this paper, an Internet of Things (IoT) application is proposed as a marine data acquisition and cartography system over Ship Ad-hoc Networks (SANET). Ships are proposed to communicate over Very High Frequency (VHF) which is already available on the majority of ships and are equipped with several sensors such as sea depth, temperature, wind speed and direction, etc. On shore, 5G base station nodes represent sinks for the collected data and are equipped with Mobile Edge Computing (MEC) capabilities for data aggregation and processing. The sensory data is ultimately aggregated at a central cloud on the internet to produce public up to date cartography systems. We discuss the deployment limitations and benefits of the proposed system and investigate it's performance using four different MANET routing protocols which are Ad hoc On-Demand Distance Vector (AODV), Ad hoc On-Demand Multipath Distance Vector (AOMDV), Destination-Sequenced Distance Vector (DSDV) and Dynamic Source Routing (DSR) protocols. Simulation results illustrate the efficiency of the proposed system with packet delivery rates of up to 60 percent at shore base stations.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC) |
Uncontrolled Keywords: | 5G mobile communication; Internet of Things; data communication; marine communication; mobile computing; next generation networks; routing protocols; vehicular ad hoc networks; AOMDV; IoT environment; MANET routing protocols; ad hoc on-demand multipath distance vector; cartography system; data acquisition; data aggregation; data processing; destination-sequenced distance vector; dynamic source routing protocols; mobile edge computing; next generation marine data networks; packet data networks; safety; satellite communication; ship ad-hoc networks; very high frequency; Ad hoc networks; Edge computing; Marine vehicles; Mobile communication; Routing; Mobile Ad-hoc Networks; Mobile Cloud; Ship Adhoc Networks |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 22 May 2020 14:04 |
Last Modified: | 08 Nov 2024 01:07 |
URI: | http://repository.essex.ac.uk/id/eprint/21434 |
Available files
Filename: kdm_conf_001.pdf