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  1. Advantages of Hybrid Wireless Field Communication Networks for Smart Grids
  2. Power Transmission Communications Network
  3. Communication Networks for Smart Grids

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Using wireless communication networks to enable outage management. Submit your inquiry and we will contact you. Learn more I agree. Navigate Search Login layouts-flyoutmenu-cart. Search Search now. Login to myABB There was a problem with your request. Rate this page General impression.

Positive Negative. Your cart Learn more about shopping on ABB. All utilities — electric, gas, water and wastewater — deliver vital services to customers. Khengar, V. Friderikos, A. Aghvami, Quality of service coverage lifetime, International Journal of Sensor Networks 3 3 adaptation in mobile ad hoc networks, International Journal of Sensor — Networks 4 4 — Beyer, D. Du, E. Kusmierek, Improved n 1-cover discovery using [] W. El-Hajj, D. Kountanis, A. Al-Fuqaha, S. Thai, F. Wang, D. Du, X. Jia, Coverage problems in wireless sensor [] D. Gavalas, G. Pantziou, C. Konstantopoulos, B.

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Iyer, H. Yu, H.

Advantages of Hybrid Wireless Field Communication Networks for Smart Grids

Kim, E. Kim, K. Yum, P. Mah, Assuring K-coverage in Networks 3 4 — Cai, X. Shen, Editorial energy-efficient algorithm and protocol design in International Journal of Sensor Networks 5 1 58— Tan, F. Ge, J. Kato, HCEP: a hybrid cluster-based energy-efficient 1—2. Nguyen, T. Le-Ngoc, Power-efficient cooperative coding Networks 5 2 67— Takata, M. Bandai, T. Hua, C. Chen, Correlated data gathering in wireless sensor networks based 5 2 79— Hamam, X. Du, H. Ferrari, R. Pagliari, M. Martalo, Decentralised binary detection with non- 90— Liu, Y.

Power Transmission Communications Network

Xiao, Q. Hao, K. Ghaboosi, Bio-inspired visual attention in agile [] V. Lecuire, C. Duran-Faundez, N. Krommenacker, Energy-efficient image sensing for target detection, International Journal of Sensor Networks 5 2 transmission in sensor networks, International Journal of Sensor Networks 98— Fayed, H.

Mouftah, Localised convex hulls to identify boundary nodes [] M. Cheng, L. Yin, Energy-efficient data gathering algorithm in sensor in sensor networks, International Journal of Sensor Networks 5 2 networks with partial aggregation, International Journal of Sensor Networks — Yang, J. Li, A. Marshall, Y. Zou, I. Nikolaidis, J. Harms, Efficient aggregation using first hop selection Networks 5 3 — Chen, T. Kwon, S. Mao, V. Leung, Spatial-temporal relation-based [] Y. Wang, F. Dahlberg, Energy-efficient topology control for three- energy-efficient reliable routing protocol in wireless sensor networks, dimensional sensor networks, International Journal of Sensor Networks 4 International Journal of Sensor Networks 5 3 — Jeong, S.

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Yuan, V. Leung, Reliable and energy-efficient Networks 5 3 — Bi, L. Sun, N. Kim, X. Wang, M. Madihian, Energy efficiency of a per-hop relay selection [] J. Liu, X. Networks 5 3 — Peter, P. Langendorfer, K. Piotrowski, Public key cryptography empowered [] W. Bein, D. Bein, S. Brahim, B. Khan, A. Al-Fuqaha, M. Guizani, Weak many vs. Zhang, Y. Xiao, K. Bales, Primate social systems, scent-marking and their few: reducing BER through packet duplication in power-budgeted wireless applications in mobile and static sensor networks, International Journal of connections, International Journal of Sensor Networks 4 3 — Sensor Networks 5 4 — Krishnamurthy, E.

Sazonov, Reservation-based protocol for monitoring [] R. Pilakkat, L. Chang, W. Snyder, C. Wang, Secure target localisation in sensor [] A. Reddy, A. Kumar, D. Janakiram, G. Kumar, Wireless sensor networks using relaxation labelling, International Journal of Sensor Networks network operating systems: a survey, International Journal of Sensor 4 3 — Networks 5 4 — Su, C.

Communication Networks for Smart Grids

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Stanford, S. Clark, C. Pavlovski, Wireless networks for the smart energy grid: applica- Sensor Networks 6 1 44— Chiang, G. Byrd, Adaptive aggregation tree transformation for energy- tion aware networks, in: Proceedings of the International MultiConference of efficient query processing in sensor networks, International Journal of Sensor Engineers and Computer Scientists, vol.

Networks 6 1 51— Gadze, Control-aware wireless sensor network platform for the smart [] K. Matrouk, B. Ullo, A. Vaccaro, G. Velotto, The role of pervasive and cooperative sensor Journal of Sensor Networks 6 2 65— Comeau, S. Sivakumar, W. Robertson, W. Erol-Kantarci, H.

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Smart Grid, Utilities, and Internet Protocols

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Zhang, H. Li, L. Lai, Towards a real- Journal of Sensor Networks 6 2 — Zhou, M. Yi, A. Iwayemi, C. Tennina, M. Renzo, F. Graziosi, F. Bagci, F. Kluge, T.

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Li, W. Guo, M. Guo, V. Leung, A message complexity oriented design [] Z. Zhidong, L. Ang, W. Jiaowen, W. Ni, T. Hsiang, J. Pedrosa, P. Melo, R. Rocha, R. Pendarakis, et al. Shuaib, A. IEEE, , pp. Jacob, L. Tang, Y. Huang, Transmission error analysis and avoidance [] Z. Zhang, A. Li, X. Zhao, N. Jiang, M. Parashar, ASGrid: autonomic [] P. Shawkat ed. Smart Grids: Opportunities, Developments, and Trends. Green Energy and Technology.

Smart grid sensor data collection, communication, and networking: a tutorial

London: Springer, pp. The smart grid is ostensibly the next generation power grid in which electrical energy distribution and management is efficiently performed by exploiting information communication technologies such as pervasive computing, in the control and decision-making processes. The smart grid is characterised by such functionality as being able to adapt to load and demand changes, intelligently manage bidirectional data flow and crucially enhance system reliability, robustness, security and sustainability.