Visible Light Communication Module: An Open Source Extension to the ns3 Network Simulator With Real System Validation

Aldalbahi, Adel; Rahaim, Michael; Khreishah, Abdallah; Ayyash, Moussa; Little, Thomas D. C.

doi:10.1109/access.2017.2759779

Cited by 38 publications

(23 citation statements)

References 18 publications

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“…Abdalbahi et al developed a VLC simulation block for NS3 in ref. [ 22 ] and performed validation experiments. Their experimental results were accurate in respect to the simulation results, but the only tested scenario was point-to-point.…”

Section: Related Workmentioning

confidence: 99%

MAC/PHY Comprehensive Visible Light Communication Networks Simulation

Torres-Zapata

Guerra

Rabadán

et al. 2020

Sensors

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In this paper, the effect of channel conditions on the global behavior of a wireless Visible Light Communications (VLC) optical network are studied. It presents a system-level simulator that considers jointly a channel propagation model and the MAC mechanisms to have a realistic description of the network, even in situations where the emitted signal is heavily affected by reflections in any close surface or obstacle. The resulting platform also accurately evaluates both Line-Of-Sight (LOS) and Non-LOS (NLOS) contributions on each node and enables the effective use of Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) schemes as defined by IEEE 802.15.7r1 standard, as well as allows a correct evaluation of lifelike problems such as the effect of hidden nodes. This work shows the necessity of accurately modeling VLC MAC layer performances, taking also into account the physical nature of visible light propagation in indoor scenarios.

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Section: Related Workmentioning

confidence: 99%

MAC/PHY Comprehensive Visible Light Communication Networks Simulation

Torres-Zapata

Guerra

Rabadán

et al. 2020

Sensors

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“…The maximum communication range is 250 m and the MAC channel delay is 250 ms. The propagation loss model is the Friis Propagation Loss Model (FPLM) in NS3 [42]. The FPLM is designed for unstructured clear path between receiver and transmitter, which eliminates the performance degraded by random shadowing effects.…”

Section: E D2d Communications Based On Fast Encounter Pattern Recognmentioning

confidence: 99%

Social-Aware D2D Video Delivery Method Based on Mobility Similarity Measurement in 5G Ultra-Dense Network

Zhang

Jia

et al. 2020

IEEE Access

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The huge amounts of network traffic generated by the ultra-high-definition video playback of super-large-scale video users results in tremendous pressure for front-haul and back-haul in the 5G network, which brings severely negative influence for the large-scale deployment and scalability of video systems and video delivery performance (e.g. transmission delay and packet loss) related to user quality of experience. The direct D2D communications between mobile devices with adjacent position in geographical area can offloading huge video traffic into the underlying networks, which reduces load of cellular base station in the edge networks and relieves traffic pressure in the core networks. In this paper, we propose a novel Social-Aware D2D Video Delivery Method based on Rapid Sample-Efficient Measurement of Mobility Similarity in 5G Ultra-Dense Network (DMSEM). By investigation for one-hop D2D pair relationship, DMSEM builds a social state transition model of user movement, which makes use of encounter duration and shared video length between encountered users to define the state transition condition. A cluster algorithm of encounter events is proposed, which achieves initial clusters of encounter events by calculating similarity between encounter events from the two aspects of both variation rate of geographical distance between mobile users and encounter duration time. DMSEM makes use of the Fuzzy C-Means to refine the initial clusters and extracts encounter patterns of mobile users. DMSEM designs a sample-efficiency rapid recognition algorithm of encounter pattern, which can use small number of encounter distance samples to achieve fast heuristic recognition of encounter pattern. Extensive tests show how DMSEM achieves better results in comparison with other state-of-the-art solutions in terms of packet loss rate, average freeze time, cache utilization, average bitrate, buffer level and control overhead. INDEX TERMS Social-aware, video delivery, mobility similarity, 5G ultra-dense network, traffic offloading.

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“…The simulation program is used to analyze received signal waveform, RMS delay and Illumination distribution. [12]. They developed test bed implementation of VLC using GNURadio and validated their new module implementation of VLC in NS3 by setting VLC point to point link between two nodes and analyzing the simulation result of the link in terms of SNR, Goodput, Error rate of symbol and packet with that of test bed implementation.…”

Section: Existing Vlc Simulationsmentioning

confidence: 99%

“…Visible Light Communication module developed by authors in [12], contains classes which are inherited using point-to-point module in NS3. The primary modules consist of the following: (i) VLC net device: It has variables and methods do define VLC network device parameters: address, position, azimuth and height.…”

Section: Vlc Module In Ns3mentioning

confidence: 99%

Performance Analysis of Internet of Things using Visible Light Communication

2019

IJITEE

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Internet of Things enables seamless interaction between connected devices. The growing popularity of IoT will increase the number of sensors and devices to be connected with Internet enormously, resulting in generation of Trillions of GBs of data. Most of the IoT devices have very less storage capacity and hence data generated are to be transmitted to IoT node head which takes care of processing. Data generated from ECG devices, Video surveillance systems are very large requiring a physical medium with high bandwidth for the connection between device and IoT node head. Further the objects plugged into Internet are most of the times powered by batteries requiring low power communication. Visible Light Communication (VLC) is one such technology that provides wide bandwidth up to 10Gbps with energy efficiency and thus it can be a potential solution for the above problem. In this paper we propose NS3 based IoT implementation using existing IoT protocol stack with Visible Light Communication as the physical medium considering error model. We achieve a throughput of 416 Mbps which is a significant improvement over Wireless Fidelity based IoT implementation which has a throughput of 91.2 Mbps under the same condition.

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Visible Light Communication Module: An Open Source Extension to the ns3 Network Simulator With Real System Validation

Cited by 38 publications

References 18 publications

MAC/PHY Comprehensive Visible Light Communication Networks Simulation

MAC/PHY Comprehensive Visible Light Communication Networks Simulation

Social-Aware D2D Video Delivery Method Based on Mobility Similarity Measurement in 5G Ultra-Dense Network

Performance Analysis of Internet of Things using Visible Light Communication

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