Wireless Sensor Network (WSN) is a promising approach that developed for wide range of applications due to its low installation cost. However, the nodes in WSN are susceptible different security threats, because these located hostile or harsh environments. Moreover, an inappropriate selection routing path affects data delivery WSN. The important goal this paper obtain secure transmission while ...

The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits using these products, location installation their capacity should be determined optimally network. this paper, optimize placement panels turbines with aim reducing losses improving reliability based on Energy No...

Foresight of CO2 emissions from fuel combustion is essential for policy-makers to identify ready targets effective reduction plans and further improve energy policies plans. A new method forecasting the future development China’s proposed in this paper by using grey theory. Although existing fractional nonlinear Bernoulli model (denoted as FNGBM(1,1)) has been theoretically proven enhance adapt...

Vehicular ad hoc networks (VANETs) are vital to many Intelligent Transportation System (ITS)-enabled technologies, including efficient traffic control, media applications, and encrypted financial transactions. Due an increase in traffic, vehicular network topology is constantly changing, sparse vehicle distribution (on highways) hinders scalability. Thus, there a challenge for all vehicles (in ...

The increasing concern of global climate changes, the promotion of renewable energy sources, primarily wind generation, is a welcome move to reduce the pollutant emissions from conventional power plants. Integration of wind power generation with the existing power network is an emerging research field. This paper presents a meta-heuristic algorithm based approach to determine the feasible dispa...

This study investigates a hybrid algorithm between Grey Wolf Optimization (GWO) and Cuckoo Search (CS) algorithms to find the parameters of induction motors. The motor have been estimated by using data supplied manufacturer. problem for parameter estimation is formulated as an optimization problem. Then, solved GWO based on CS parameters. Numerical results show that both are capable solving fin...

Abstract In this paper, new methods for increasing the efficiency of photovoltaic pumping systems are presented (PVPS). A feasible implementation battery-free PVPS, as well a cost-effective design, has been proposed. The variation PV power causes its behaviour to transit permanently between characteristics constant current sources and voltage sources, which is studied in paper from perspective....

Due to the unexpected breakdowns that can happen in various components of a production system, failure reach targets and interruptions process are not surprising. Since this issue remains for manufactured products, halting results loss profitability or demand. In study, address number challenges associated with management crucial spare parts inventory, mathematical model is suggested determinat...

During the operation of vibrating mechanism, push-shaking camellia fruit picking manipulator needs to ensure a constant force output clamping hydraulic motor in order make sure that tree trunk wouldn't loosen or damage, which may affect its later growth, during process. In this regard, paper derived state space model valve-controlled system manipulator, and fuzzy wavelet neural network (FWNN) w...

This study offers an adaptive dynamic sine cosine fitness grey wolf optimizer (ADSCFGWO) for optimizing the parameters of two types antennas. The antennas are metamaterial and double T-shape monopoles. ADSCFGWO algorithm is based on technique recently developed powerful optimization techniques: a modified (GWO) value (SCA). suggested approach utilizes capabilities both algorithms to balance bet...