A Multiple Access Protocol Based on Gray Forecast for Satellite Network

A satellite network’s multiple access protocol must be well designed to efficiently occupy channel resources and meet various qualities of service requirements. In this paper, a combined free/demand assignment multiple access protocol based on gray forecast is proposed. In terms of access, the adoption of the gray forecast method allows the user to book the number of timeslots to have more than the existing number of burst of packets. In terms of bandwidth allocation, a user priority allocation method is used to prioritize users with high needs and focus on the allocation of satellite resources. Experimental results show that the proposed protocol can effectively improve the channel utilization of the entire system. Thus, this protocol has some advantages over existing protocols in network throughput and end-to-end delay.

[1]  Martin Haardt,et al.  Channel Modeling for Multiple Satellite Broadcasting Systems , 2009, IEEE Transactions on Broadcasting.

[2]  Gianluigi Liva,et al.  Graph-Based Analysis and Optimization of Contention Resolution Diversity Slotted ALOHA , 2011, IEEE Transactions on Communications.

[3]  Emmanuel Kuntsche,et al.  ICAT: Development of an Internet-Based Data Collection Method for Ecological Momentary Assessment Using Personal Cell Phones , 2012, European journal of psychological assessment : official organ of the European Association of Psychological Assessment.

[4]  Li Wei-liang.  Medium Access Control Protocols for Broadband GEO Satellite Network , 2010 .

[5]  James Bret Michael,et al.  Flow-Specific Medium Access for Networked Satellite System , 2011, IEEE Systems Journal.

[6]  Feng Qi,et al.  Analysis and evaluation for CFDAMA protocol in broadband satellite system , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[7]  She Yang.  Performance Analysis of CFDAMA Protocol via Satellite with Predictive Algorithm , 2006 .

[8]  Geoffrey C. Fox,et al.  Grey Forecast model for accurate recommendation in presence of data sparsity and correlation , 2014, Knowl. Based Syst..

[9]  Jiang Yuan,et al.  Improved Burst Target Demand Assignment Multiple Access (BTDAMA) for GEO Satellite Networks , 2011, 2011 International Conference on Network Computing and Information Security.

[10]  David Grace,et al.  Burst targeted demand assignment multiple-access for broadband Internet service delivery over geostationary satellite , 2004, IEEE Journal on Selected Areas in Communications.

[11]  Fan Wang,et al.  MAC Protocol Design for Broadband Multimedia Satellite System , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[12]  Georgios Katsoulis.  Satellite Telecommunications in the Military: Advantages, Limitations and the Networking Challenge , 2014 .

[13]  St. D. Lcev.  Time Division Multiple Access (TDMA) applicable for mobile satellite communications , 2011, 2011 21st International Crimean Conference "Microwave & Telecommunication Technology".

[14]  Joseph Y. Halpern,et al.  Minimum-energy mobile wireless networks revisited , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[15]  David Gomez-Barquero,et al.  5th generation mobile networks: A new opportunity for the convergence of mobile broadband and broadcast services , 2015, IEEE Communications Magazine.

[16]  Fei Yuan,et al.  Research of the multiple access protocol for underwater acoustic networks based on OPNET , 2010, Proceedings of the 29th Chinese Control Conference.