Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks

In order to deploy an Electrical Energy Advanced Metering Infrastructure (AMI), Electrical Enterprises traditionally have to rent the infrastructure of a primary Mobile Network Operator (MNO). This paper presents a model for optimizing the Mobile Virtual Network Operator (MVNO) infrastructure employed for the communication between the Central Office with the Smart Meters (SM). It is proposed a model which minimizes the cost of the primary network operator infrastructure and reduces the expenses of the secondary network operator while saves and facilitates the spectrum utilization. The algorithm employed in the optimization model searches the best scenario for the SM clustering with purpose of minimizing the distance among Cellular Base Stations. In this paper the Smart Meters (SM) are considered fixed data terminals placed in Neighborhood Area Networks (NAN) covered by the mobile communications network.

[1]  Jian Tang,et al.  QoS Routing in Wireless Mesh Networks with Cognitive Radios , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[2]  M. Davodi,et al.  Coherency approach by hybrid PSO, K-Means clustering method in power system , 2008, 2008 IEEE 2nd International Power and Energy Conference.

[3]  Li Zhang,et al.  Efficient Recovery Algorithms for Wireless Mesh Networks with Cognitive Radios , 2009, 2009 IEEE International Conference on Communications.

[4]  Jianwei Huang,et al.  Cognitive Mobile Virtual Network Operator: Investment and Pricing with Supply Uncertainty , 2009, 2010 Proceedings IEEE INFOCOM.

[5]  Ranveer Chandra,et al.  Low cost and secure smart meter communications using the TV white spaces , 2010, 2010 3rd International Symposium on Resilient Control Systems.

[6]  Loretta Mastroeni,et al.  Spectrum reservation options for Mobile Virtual Network Operators , 2010, 6th EURO-NGI Conference on Next Generation Internet.

[7]  Mohsen Guizani,et al.  Cognitive radio based hierarchical communications infrastructure for smart grid , 2011, IEEE Network.

[8]  Anand Kishore Raju,et al.  Femtocell deployment strategies for MVNOs enabled by cognitive sharing , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[9]  William H. Sanders,et al.  Cost modeling of response actions for automated response and recovery in AMI , 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).

[10]  Kranthimanoj Nagothu,et al.  Persistent Net-AMI for Microgrid Infrastructure Using Cognitive Radio on Cloud Data Centers , 2012, IEEE Systems Journal.

[11]  Esteban Inga.  Redes de Comunicación en Smart Grid , 2012 .

[12]  Rose Qingyang Hu,et al.  Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid , 2012, IEEE Transactions on Parallel and Distributed Systems.

[13]  Zhong Fan,et al.  An integer linear programming based optimization for home demand-side management in smart grid , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[14]  Mourad Debbabi,et al.  Communication security for smart grid distribution networks , 2013, IEEE Communications Magazine.

[15]  Sérgio G. Araújo,et al.  Optimal positioning of GPRS concentrators for minimizing node hops in smart grids considering routing in mesh networks , 2013, 2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America).

[16]  Javier E. Sierra,et al.  ILP model for Greenfield WDM PON network design based on physical layer constraints , 2013, Optics & Photonics - Optical Engineering + Applications.

[17]  Song Guo,et al.  Joint Optimization of Electricity and Communication Cost for Meter Data Collection in Smart Grid , 2013, IEEE Transactions on Emerging Topics in Computing.

[18]  Thorsten Staake,et al.  Are domestic load profiles stable over time? An attempt to identify target households for demand side management campaigns , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[19]  Juan Inga,et al.  Modelos de negocios para OMV en el Ecuador , 2013 .

[20]  Amitava Ghosh,et al.  Performance of Low-Cost LTE Devices for Advanced Metering Infrastructure , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[21]  Murtuza Jadliwala,et al.  On the scalable collection of metering data in smart grids through message concatenation , 2013, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[22]  Shuqin Li,et al.  Dynamic Profit Maximization of Cognitive Mobile Virtual Network Operator , 2012, IEEE Transactions on Mobile Computing.

[23]  Andreas Achtzehn,et al.  Smart meters with TV gray spaces connectivity: A feasibility study for two reference network topologies , 2014, 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[24]  Paulo Morelato França,et al.  A redistricting problem applied to meter reading in power distribution networks , 2014, Comput. Oper. Res..

[25]  Kaamran Raahemifar,et al.  Optimization of distributed communication architectures in advanced metering infrastructure of smart grid , 2014, 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE).

[26]  Esteban Inga,et al.  Optimal deployment of cellular networks for Advanced Measurement Infrastructure in Smart Grid , 2014, 2014 IEEE Colombian Conference on Communications and Computing (COLCOM).