A Fiber-Wireless Sensor Networks QoS Mechanism for Smart Grid Applications

Abstract : Smart grid applications, such as teleportation, synchrophasors, remote condition monitoring, and control of assets, require timely and reliable data communication systems. Many communication architectures and solutions have been proposed to provide support for these smart grid applications, including ber networks, wireless mobile networks, wireless sensor networks (WSNs), and so on. The use of heterogeneous solutions is an attractive architecture option since it combines the advantages of two or more communication systems to meet the delay and reliability requirements of the smart grid. Fiber-wireless sensor networks (Fi-WSNs) are gaining popularity as a reliable communication infrastructure in many other applications. This is due to the low cost, reliability, availability, the distributed nature of the WSNs, and the high bandwidth and reliability of the optical ber networks. Although the Fi-WSNs systems can provide a good delay performance, they may not meet the requirements of the above smart grid delay-critical applications. In this paper, we propose a novel adaptive and cross-layer service differentiation mechanism for the Fi-WSNs. The proposed mechanism implements an adaptive scheduling mechanism and allows WSNs to cooperate with the optical network unit (ONU) to reduce the delay for high priority trafc. We determine the effects of the proposed mechanism on the quality of service (QoS) of delay critical smart grid monitoring applications in terms of the end-to-end delay and reliability. We show through simulations that our proposed QoS mechanism can reduce the end-to-end delay in the Fi-WSN system and in the long-reach passive optical networks (LR-PONs). We also show that our mechanism can outperform the existing techniques under the same traffic and network conditions.
 EXISTING SYSTEM :
 Implementing QoS approaches in communication systems can greatly improve safety in the smart grid environment .Smart grid safety and protection has been extensively studied in the past few years. we develop and evaluate a novel adaptive and cross-layer QoS mechanism for the Fi-WSNs, namely, Cross Layer WSN-Modified Optical Coding (XWMOC) for delay critical smart grid applications.
 DISADVANTAGE :
 • The ?ow of electric power is unidirectional from generation units to the consumers. • WSNs include large number of sensor nodes which obtain data about physical phenomena that is difficult to obtain in more conventional ways.
 PROPOSED SYSTEM :
  We determine the effects of the proposed mechanism on the quality of service (QoS) of delay critical smart grid monitoring applications in terms of the end-to-end delay and reliability. We show through simulations that our proposed QoS mechanism can reduce the end-to-end delay in the Fi-WSN system and in the long-reach passive optical networks (LR-PONs). We also show that our mechanism can outperform the existing techniques under the same trafficc and network conditions.
 ADVANTAGE :
 • To provide support for these smart grid applications, including fiber networks, wireless mobile networks, and wireless sensor networks (WSNs). • The use of heterogeneous solutions is an attractive architecture option since it combines the advantages of two or more communication systems.

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