Measuring Contention and Congestion on Ad-Hoc Multicast Network Towards Satellite on Ka-Band and LiFi Communication Under Tropical Environment Region

Diversified interest in the low-cost broadband satellite has overgrown to support a wide range of services in the satellite network. There is a need to explore alternative parts of optical communication towards Light Fidelity (LiFi) to offload the overcrowded radio frequency segments and improve the overall throughput. Ad hoc networks are the most suitable solution to provide a non-trivial challenge towards system design due to efficiency and quality of service (QoS). Both contention and congestion issues can severely affect the performance of a multicast network where video streaming becomes part of the day-to-day life. In this paper, we present network congestion characterization related to LiFi and High Throughput Satellite (HTS) under the Ka-band modulation schemes during adverse weather conditions in the tropical region. The heterogeneous network performance presented in this paper comprehensively provides systematic information for Satellite communication (SatCom) & LiFi and optimization of throughput by reducing network contention ratio. The measurement results have shown that when Deep Packet Inspection (DPI) policy is applied, an improvement of 80.26% in the packet delivery ratio is achieved as compared when without a DPI policy. However, using an on-premise Software-defined-wide access network (SD-WAN) alone provides 58.20% improvement in the overall network system. As a result, DPI provides a well managed QoS approach to manage the entire hybrid network, mainly in the tropical environment region.

[1]  Xinming Zhang,et al.  TCP transmission rate control mechanism based on channel utilization and contention ratio in AD hoc networks , 2009, IEEE Communications Letters.

[2]  R. Srikant,et al.  End-to-end congestion control schemes: utility functions, random losses and ECN marks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[3]  Sridhar Rajagopal,et al.  IEEE 802.15.7 visible light communication: modulation schemes and dimming support , 2012, IEEE Communications Magazine.

[4]  C. Mala,et al.  Dynamic Sliding Contention Window Adjustment in Saturated Wireless Networks , 2014, 2014 17th International Conference on Network-Based Information Systems.

[5]  Latif Ullah Khan,et al.  Visible light communication: Applications, architecture, standardization and research challenges , 2017, Digit. Commun. Networks.

[6]  Ali M. Al-Saegh,et al.  Evaluation of Ka-Band Rain Attenuation for Satellite Communication in Tropical Regions Through a Measurement of Multiple Antenna Sizes , 2020, IEEE Access.

[7]  Rakesh Kumar Ambhati,et al.  Performance evaluation of ip wireless networks using two way active measurement protocol , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[8]  Kyung-Sup Kwak,et al.  The Internet of Things for Health Care: A Comprehensive Survey , 2015, IEEE Access.

[9]  Paolo Santi,et al.  Vehicle-to-Vehicle Communication: Fair Transmit Power Control for Safety-Critical Information , 2009, IEEE Transactions on Vehicular Technology.

[10]  Simona Riurean,et al.  LiFi — The path to a new way of communication , 2017, 2017 12th Iberian Conference on Information Systems and Technologies (CISTI).

[11]  Mon-Yen Luo,et al.  A Network Management System Based on DPI , 2010, 2010 13th International Conference on Network-Based Information Systems.

[12]  Murat Uysal,et al.  Optical wireless communications — An emerging technology , 2016, 2014 16th International Conference on Transparent Optical Networks (ICTON).

[13]  Yi Xu,et al.  Software-Defined Wide Area Network (SD-WAN): Architecture, Advances and Opportunities , 2019, 2019 28th International Conference on Computer Communication and Networks (ICCCN).

[14]  Benn C. Thomsen,et al.  Beyond 100-Gb/s Indoor Wide Field-of-View Optical Wireless Communications , 2015, IEEE Photonics Technology Letters.

[15]  Veselin Rakocevic,et al.  TCP Contention Control: A Cross Layer Approach to Improve TCP Performance in Multihop Ad Hoc Networks , 2007, WWIC.

[16]  Tsern-Huei Lee,et al.  Using String Matching for Deep Packet Inspection , 2008, Computer.

[17]  Salekul Islam,et al.  A Survey on Multicasting in Software-Defined Networking , 2018, IEEE Communications Surveys & Tutorials.

[18]  Nicola Conci,et al.  Performance analysis of W-band satellite HDTV broadcasting , 2011, 2011 Aerospace Conference.

[19]  Shuhong Gong,et al.  Study on the Channel Model and BER Performance of Single-Polarization Satellite-Earth MIMO Communication Systems at Ka Band , 2014, IEEE Transactions on Antennas and Propagation.

[20]  Lamya I. Albraheem,et al.  Toward Designing a Li-Fi-Based Hierarchical IoT Architecture , 2018, IEEE Access.

[21]  Eiji Oki,et al.  Virtual network function placement and routing for multicast service chaining using merged paths , 2020, Opt. Switch. Netw..

[22]  Hadia El-Hennawy,et al.  Performance Assessment of Coded-Beam High Throughput Satellites , 2017 .

[23]  Ali Balador,et al.  The Novel Contention Window Control Scheme for IEEE 802.11 Mac Protocol , 2010, 2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing.