Abstract In this paper, a high gain and low noise 3.1-10.6 GHz ultra wideband (UWB) CMOS low noise amplifier (LNA) with common gate (CG) topology was designed, which adopted a T-match input network of 50Ω matching in the required band. The power reduction is achieved by the current reused technique. The proposed LNA was fabricated using TSMC 130 nm CMOS technology. The simulation results... In this paper, a high gain and low noise 3.1-10.6 GHz ultra wideband (UWB) CMOS low noise amplifier (LNA) with common gate (CG) topology was designed, which adopted a T-match input network of 50Ω matching in the required band. The power reduction is achieved by the current reused technique. The proposed LNA was fabricated using TSMC 130 nm CMOS technology. The simulation results demonstrated a power gain of 21.603 dB with a ripple of ± 1.02 dB, achieved noise figure less than 3.168 dB, an input return loss less than -15.576 dB and output return loss less than -20 dB. With a power supply of 1.2V, the proposed circuit consumes 5.82 mW. Read More Read Less

Abstract Routing is a key issue in Wireless Sensor Networks due to the network consisting of a large number of self-organization sensor nodes with limited energy, processing capability and storage. Lifecycle of network is one of the crucial issues which are influenced by routing protocol greatly in WSN. Therefore many researchers focus on the routing protocol and how to improve it.... Routing is a key issue in Wireless Sensor Networks due to the network consisting of a large number of self-organization sensor nodes with limited energy, processing capability and storage. Lifecycle of network is one of the crucial issues which are influenced by routing protocol greatly in WSN. Therefore many researchers focus on the routing protocol and how to improve it. Rumor Routing Protocol is one of the classical routing protocol based on query, which is developed from Directed Diffusion Routing Protocol. In this paper, we investigate routing protocol based on query and propose a new routing protocol, in which we use clustering idea to control the data volume to transmit, and localization technology and rumor routing protocol optimized by intersection angle theory to reduce the energy consumption of data transmission. Results of simulation experiments indicate that the new routing protocol can reduce the energy consumption of the network and extend the lifecycle of the network. Read More Read Less

Abstract The concept of the Cloud computing has significantly changed the field of parallel and distributed computing systems today. Cloud computing enables a wide range of users to access distributed, scalable, virtualized hardware and/or software infrastructure over the Internet. Load balancing is the process of distributing the load among various nodes of a distributed system to improve resource utilization, minimum response... The concept of the Cloud computing has significantly changed the field of parallel and distributed computing systems today. Cloud computing enables a wide range of users to access distributed, scalable, virtualized hardware and/or software infrastructure over the Internet. Load balancing is the process of distributing the load among various nodes of a distributed system to improve resource utilization, minimum response time and maximize throughput while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time. In this paper, we propose a new two level fuzzy approach for dynamic load balancing in cloud computing. This approach characterizes the uncertainty in a distributed system by using the fuzzy logic. The processor speed and queue length of nodes are used to balance the load of the nodes in cluster level and processing power and average queue length of clusters are used to balance the load of the clusters in cloud level through fuzzy logic. In comparative study, proposed algorithm shows better average of response time and throughput than Round Robin and Randomize algorithms. Read More Read Less