Data Density Correlation Degree Clustering Algorithm for Multiple Correlated Sensor Networks using Fuzzy Logic

Wireless Sensor Network (WSN) is the collection of several sensor nodes which are able to send their sensed data to base station. In dense WSN, consecutive observations obtained by sensors are spatial as well as temporally correlated in applications that involve the observation of the variation of a physical phenomenon. These sensor nodes are battery driven, therefore an efficient utilization of power is essential in order to reduce data traffic inside sensor networks and thus reduce amount of data that need to send to base station for enhancing the network lifetime. For this reason data aggregation is used. The correlation degree gives a correlation measurement that measures the correlation between a sensor node's data and its neighboring sensor nodes' data. The resulting representative data obtained using the proposed methods have a lower data distortion than those obtained earlier. Also, to construct an energy balanced network in data transmitting process, the energy of every sensor nodes should be considered and Fuzzy Logic is also used to determine an optimal routing path from the source to the destination by maintaining the highest remaining battery power, minimum traffic loads and minimum number of hops. DOI: 10.17762/ijritcc2321-8169.16049

Developing a wet quality model using fuzzy approach for the Al-Gharraf River in Southern Iraq

The present study develops a wet quality model based on fuzzy approach to assessment of the surface wet quality in Al-Gharraf Stream located in the south of Iraq. The wet quality parameters, including Total Dissolved Solids (TDS), Biological Oxygen Demand (BOD), Chloride (CL), Sulphate (SO4), Nitrate (NO3), and Phosphate (PO4), were selected as input parameters to fuzzy wet quality model (FWQ. To evaluate the performance of the proposed model (FWQ) of Al-Gharraf Stream in the period of the study, the produces of our model were compared with those of the wet quality index (WQI) and Canadian Wet Quality Index (CWQI) . They showed similar results and were sensitive to changes in the level of wet quality parameters. However, the model proposed in the present study produced a more stringent produces compared to the WQI and CWQI. Results from the simulation indicate that the sensitivity analysis of the suggested approach will be improved by almost (17%, and 24%) more than that achieved by the processs WQIand CWQI respectively. In conclusion, the proposed index seems to produce accurate and reliable results and can be used as a comprehensive tool for wet quality assessment

A Two-Wheeled Self-Balancing Robot with the Fuzzy PD Control Method

A two-wheeled self-balancing robot with a fuzzy PD control method is described and analyzed as an example of a high-order, multiple-variable, nonlinear, strong-coupling, and unstable system. Based on a system structure model, a kinetic equation is constructed using Newtonian dynamics and mechanics. After a number of simulation experiments, we get the best , , and state-feedback matrices. Then a fuzzy PD controller is designed for which the position and speed of the robot are inputs and for which the angle and angle rate of the robot are controlled by a PD controller. Finally, this paper describes a real-time control platform for the two-wheeled self-balancing robot that controls the robot effectively, after some parameter debugging. The result indicates that the fuzzy PD control algorithm can successfully achieve self-balanced control of the two-wheeled robot and prevent the robot from falling

A survey of network lifetime maximization techniques in wireless sensor networks

Emerging technologies, such as the Internet of things, smart applications, smart grids and machine-to-machine networks stimulate the deployment of autonomous, selfconfiguring, large-scale wireless sensor networks (WSNs). Efficient energy utilization is crucially important in order to maintain a fully operational network for the longest period of time possible. Therefore, network lifetime (NL) maximization techniques have attracted a lot of research attention owing to their importance in terms of extending the flawless operation of battery-constrained WSNs. In this paper, we review the recent developments in WSNs, including their applications, design constraints and lifetime estimation models. Commencing with the portrayal of rich variety definitions of NL design objective used for WSNs, the family of NL maximization techniques is introduced and some design guidelines with examples are provided to show the potential improvements of the different design criteri

Genetic Algorithms Applications to Power System Security Schemes

This thesis details the approaches which aim to automatically optimize power system security schemes. In this research, power system security scheme includes two main plans. The first plan, which is called the defence plan scheme, is about preventing cascading blackouts while the second plan, which is called the restoration plan, is about rebuilding the power system in case of failure of the first plan. Practically, the defence plan includes under-frequency load shedding and under-frequency islanding schemes. These two schemes are always considered the last stage of the defensive actions against any severe incident. It is recognized that it is not easy for any power system’s operational planner to obtain the minimum amount of load shedding or the best power system islanding formation. In the case of defence plan failure, which is always possible, a full or partial system collapse may occur. In this situation, the power system operator is urgently required to promptly restore the system. This is not an easy task, since the operator must not violate many power system security constraints. In this research, genetic algorithms and expert systems are employed, as optimization methods, to identify the best amount of load shedding and island formation for the defence plan and the shortest path to rebuild the power system for the restoration plan. In the process of designing the power system security scheme, the majority of the electromechanical power system security constraints are considered. It is well known that power system optimization problems often have a huge solution space. In this regard, many successful techniques have been used to reduce the size of the solution spaces associated with the optimization of the power system security schemes in this work. The Libyan power system is used as an industrial case study to validate the practicality of the research approaches. The results clearly show that the new methods that have been researched in this PhD work have shown great success. Using the Libyan power system, the optimized defence plan has been compared to the current defence plan. The results of this comparison have shown that the optimized defence plan outperforms the current one. Regarding the optimized restoration plan, the results present the fact that the Libyan power system can be restored in reasonable time.EThOS - Electronic Theses Online ServiceGBUnited Kingdo