Network sensors consist of sensor nodes in which every node covers a limited area. The most common use of these networks is in unreachable fields.Sink is a node that collects data from other nodes. One of the main challenges in these networks is the limitation of nodes battery (power supply).Therefore, the use of TOPOLOGY CONTROL is required to decrease power consumption and increase network accessibility.In this paper, a network is modeled by a graph. Each vertex in the graph indicates a sensor node and the edges display the communication links between them. Changes in the graph show changes in network TOPOLOGY and a different path to the sink.In this research, “fuzzy logic” is used for TOPOLOGY CONTROL. As the fuzzy logic utilizes optimized sensing radius comparing with minimum-maximum sensing radius, we expect less dead nodes, more mean residual energy and relatively more load balance in the network. At first, 2-input fuzzy algorithm was chosen. However 3-input fuzzy algorithm was also observed due to reasons explained in the main text.In both algorithms, we have load balance in network and prolong network lifetime. Unreachable paths are less encountered with higher rates of packet delivery. The final standard deviation (STD) reaches to its minimum level, while the residual energy in sensors remains close to each other.

Many topological objectives and constraints cannot easily be assessed by analytical formulations. This paper introduces a number of graph theoretical operators, as suitable combinatorial tools, for discrete TOPOLOGY assessment. Using such an approach, the load paths from their exertion points to the support joints can be guided topologically during the optimization process. Eleven variants of the proposed method are developed for the inclusion of various constraints and/or objectives. The presented algorithms are then applied to the optimal bracing layout of multi-story frames under lateral loadings for minimal weight or static compliance. Benchmark examples from literature are treated to validate the efficiency and to compare the capability of the proposed algorithms. The bracing patterns obtained from optimization are graph theoretically categorized.

In this paper, a simplified CONTROL algorithm based on unit vector template generation (UVTG) is proposed for a stardelta supported three-phase four-wire (3P-4W) unified power quality conditioner (UPQC) TOPOLOGY for the improvement of different power quality problems. Different topologies reported in literature for 3P-4W UPQC use active compensation for the mitigation of source neutral current along with other power quality (PQ) problems, while the uses of passive elements for the mitigation of source neutral current are advantageous over the active compensation due to ruggedness and less complexity of CONTROL. Hence, in this paper a star-delta transformer is connected in shunt near the load for mitigation of source neutral current, while three-leg voltage source inverters (VSIs) based shunt and series active power filters (APFs) of 3P-4W UPQC mitigate the current and voltage based distortions, respectively. A simple CONTROL algorithm based on Unit Vector Template Generation (UVTG) is used as a CONTROL strategy of UPQC for mitigation of different PQ problems. In this CONTROL scheme, the current/voltage CONTROL is applied over the fundamental supply currents/load voltages instead of fast changing APFs currents/voltages, thereby reducing the effects of computational delay and the required sensors. The performance of the proposed TOPOLOGY of UPQC is analyzed through simulations results using MATLAB software with its Simulink and Power System Block set toolboxes.

This research is an ongoing work for achieving consistency between TOPOLOGY CONTROL and QoS guarantee in MANET. Desirable TOPOLOGY and Quality of Service (QoS) CONTROL are two important challenges in wireless communication networks such as MANETs. In a Mobile Ad hoc Network, MANET, nodes move in the network area; therefore, the network TOPOLOGY is randomly and unpredictably changed. If the network TOPOLOGY is not CONTROLled properly, the energy consumption is increased and also network TOPOLOGY probably becomes disconnected. To prevent from this situation, it is necessary to use desirable dynamic TOPOLOGY CONTROL algorithms such as k-edge connectivity methods. This paper tries to improve the three following parameters according to the k-edge connectivity concepts: (1) network performance, (2) reduce energy consumption, and (3) maintain the network connectivity. To achieve these goals, as a new method, we enhance k-edge connectivity methods using an improved definition of node density. The new method is called as: Node Density Based k-edge connected TOPOLOGY CONTROL (NDBkTC) algorithm. For the first time the node density definition is dynamically used. The new method, computes the node density based on a new equation which consists of the following factors: the relative velocity of nodes, distance between nodes, the number of nodes and the transmission range of nodes. The results show that our new method improves the network performance compared with the existing methods. Also we will show that the new method can holds QoS in a desirable tolerance range.