ASMIR GOGIC, ALJO MUJCIC, İSMAİL HAKKI ÇAVDAR, MATEJ ZAJC, NERMIN SULJANOVIC

Study of MAC routing in the BPLC P1901 access network: fixed vs. adaptive approach

In this paper we propose an improved adaptive media access (MAC) layer routing algorithm for the broadband power line communication (BPLC) access network founded on the fixed basic approach routing algorithm, which is integrated within the IEEE P1901 standard. The proposed adaptive algorithm incorporates a new dynamically scaled threshold for the selection of the next hop station based on the information from the physical layer. Furthermore, the procedures for the route and the time allocation modifications during the connection setup and later adjustments are developed. Simulation of the new adaptive and existing fixed routing algorithm is performed on the model of a realistic BPLC network using the OMNeT++-based BPLC cross-layer simulator BPlcSim. The simulation results showed that the adaptive routing algorithm outperforms the fixed routing in all aspects, since each station can perform routing functions and make the selection of the most reliable next hop station.

Anahtar Kelimeler:

Power line communications, media access protocol, cross-layer simulation, smart grid, routing and repeating

Study of MAC routing in the BPLC P1901 access network: fixed vs. adaptive approach

Keywords:

Power line communications, media access protocol, cross-layer simulation, smart grid, routing and repeating,

PDF

___

Galli S, Scaglione A, Zhifang W. For the grid and through the grid: the role of power line communications in the smart grid. P IEEE 2011; 99: 998–1027.
G¨ung¨or VC, Sahin D, Kocak T, Erg¨ut S, Buccella C, Cecati C, Hancke GP. Smart grid technologies: communication technologies and standards. IEEE T Ind Inform 2011; 7: 529–539.
IEEE P1901 Working Group. IEEE Standard for Broadband over Power Line Networks: Medium Access Control and Physical Layer Specifications. IEEE Standardd 1901-2010. New York, NY, USA: IEEE, 2010.
Zimmermann M, Dostert K. A multipath model for the powerline channel. IEEE T Commun 2002; 50: 553–559.
DLC+VIT4IP Team. Reference Scenario Parameter Specification. Brussels, Belgium: European Community’s Seventh Framework Program DLC+VIT4IP, 2010.
Wang Z, Wang YJ, Wang J. Overlapping clustering routing algorithm based on L-PLC meter reading system. In: IEEE 2009 International Conference on Automation and Logistics; 5–7 August 2009; Shenyang, China. New York, NY, USA: IEEE. pp. 1350–1355.
Chenchen H, Younghai H. Study on cluster-based dynamic routing algorithm in power line communication network. In: IEEE 2012 International Conference on Automation and Logistics; 15–17 August 2012; Zhengzhou, China. New York, NY, USA: IEEE. pp. 461–465.
Liu X, Wang W, Zheng J, Hai T, Zhang L, Liu B. Tangential connection clustering routing algorithm for the L-PLC based AMR system. In: IEEE 2012 International Power Electronics and Motion Control Conference; 2–5 June 2012; Harbin, China. New York, NY, USA: IEEE. pp. 2932–2936.
Wang Z, Zhang Y, Zhao Y. A distributed routing algorithm for the L-PLC network. In: IEEE 2008 International Conference on Automation and Logistics; 1–3 September 2008; Qingdao, China. New York, NY, USA: IEEE. pp. 2541–2545.
Liu X, Zhou Y, Qi J. Method study of automatic routing for power line communications. P CSEE 2006; 26: 76–81. [13] Biagi M, Greco S, Lampe L. Neighboring-knowledge based geo-routing in PLC. In: IEEE 2012 International Symposium on Power Line Communications and Its Applications; 27–30 March 2012; Beijing, China. New York, NY, USA: IEEE. pp. 7–12.
Galli S, Banwell T. A novel approach to the modeling of indoor power line channel - Part II: Transfer function and its properties. IEEE T Power Deliver 2005; 20: 1869–1878.
Tonello AM, Versolatto F. Bottom-up statistical PLC channel modeling - Part I: Random topology model and eﬃcient transfer function computation. IEEE T Power Deliver 2011; 26: 891–898.
Lee SSW, Li KY, Wu CS, Pan JY, Chuang CY. Optimal bandwidth guaranteed routing ant time slot assignment for broadband PLC access network. In: IEEE 2012 International Symposium on Power Line Communications and Its Applications; 27–30 March 2012; Beijing, China. New York, NY, USA: IEEE. pp. 224–229.
Canale S, Giorgio AD, Lanna A, Mercurio A, Panfili M, Pietrabissa A. Optimal planning and routing in the medium voltage power line communication networks. IEEE T Smart Grid 2012; 4: 711–719.
Zimmermann M, Dostert K. Analysis and modeling of impulsive noise in broad-band powerline communications. IEEE T Electromagn C 2002; 44: 249–258.
Andreadou N, Pavlidou FN. Modeling the noise on the OFDM power-line communications system. IEEE T Power Deliver 2010; 25: 150–157.
Hrasnica H, Haidine A, Lehnert R. Broadband Powerline Communications Networks. New York, NY, USA: Wiley, 2004.
Andreadou N, Pavlidou FN. PLC channel: impulsive noise modeling and its performance evaluation under diﬀerent array coding schemes. IEEE T Power Deliver 2009; 24: 585–595.
Massaki K. Introduction to robust, reliable and high-speed power-line communication systems. IEICE T Fund Electr 2001; 12: 2958–2965.
Varga A. The OMNeT++ discrete event simulation system. In: ESM 2001 European Simulation Multiconference; 6–9 June 2001; Prague, Czech Republic. San Diego, CA, USA: ESM. pp. 319–324.
Cao L, Kam PY, Tao M. Impact of imperfect channel state information on ARQ schemes over Rayleigh fading channels. In: IEEE 2009 International Conference on Communications; 14–18 June 2009; Dresden, Germany. New York, NY, USA: IEEE. pp. 1–5.