A SCADA System for Mobile Industry

Taiwanese mobile telecom industry encounters the difficult of operation and management due to the dispersing of mobile stations and telecom system in different areas. Therefore it is the important policy for mobile industry that how to draft an effective operation method and to drop the cost of management and human resource. The aim of this research is to study the operation and management cost reduction of the mobile industry through the supervisor control and data acquisition (SCADA) system application during globalization, privatization and liberalization competition. Results indicated that the SCADA system has been highly willing to mobile industry in the development of power supply quality and to drop the operation and management cost. Also this research aims at measuring the benefit on SCADA system and to provide decision-makers with useful operation and management strategies as reference

The evolutionary random interval fingerprint for a more secure wireless communication

[[abstract]]In this paper, we propose a novel evolutionary Random Interval Fingerprint (RIF) for active RFID and ZigBee systems. This new approach can enable more secure multi-party communication since, if the wireless packets are forged by another wireless communication party, the interval fingerprint can provide another way to detect the spoofing packet. Moreover, the random evolutionary algorithms, both genetic and memetic, are also proposed as a means to generate the random interval fingerprint. Compared to the conventional random generator, our approach is flexible in generating uniform random and long cycle numbers, and more robust for the anti-cracking. It is difficult for the forged party to produce the fake random intervals. Finally, we provide an application example, a completed work survey, pseudo-code and analysis result to prove that our concept is feasible for the Wireless communication.[[incitationindex]]SCI[[booktype]]紙本[[booktype]]電子

Efficient search approaches for K-medoids-based algorithms

In this paper, the concept of previous medoid index is introduced. The utilization of memory for efficient medoid search is also presented. We propose a hybrid search approach for the problem of nearest neighbor search. The hybrid search approach combines the previous medoid index, the utilization of memory, the criterion of triangular inequality elimination and the partial distance search. The proposed hybrid search approach is applied to the k-medoids-based algorithms. Experimental results based on Gauss-Markov source, curve data set and elliptic clusters demonstrate that the proposed algorithm applied to the CLARANS algorithm may reduce the number of distance calculations from 88.4% to 95.2% with the same average distance per object compared with CLARANS. The proposed hybrid search approach can also be applied to nearest neighbor searching and the other clustering algorithms

Overview of Some Intelligent Control Structures and Dedicated Algorithms

Automatic control refers to the use of a control device to make the controlled object automatically run or keep the state unchanged without the participation of people. The guiding ideology of intelligent control is based on people’s way of thinking and ability to solve problems, in order to solve the current methods that require human intelligence. We already know that the complexity of the controlled object includes model uncertainty, high nonlinearity, distributed sensors/actuators, dynamic mutations, multiple time scales, complex information patterns, big data process, and strict characteristic indicators, etc. In addition, the complexity of the environment manifests itself in uncertainty and uncertainty of change. Based on this, various researches continue to suggest that the main methods of intelligent control can include expert control, fuzzy control, neural network control, hierarchical intelligent control, anthropomorphic intelligent control, integrated intelligent control, combined intelligent control, chaos control, wavelet theory, etc. However, it is difficult to want all the intelligent control methods in a chapter, so this chapter focuses on intelligent control based on fuzzy logic, intelligent control based on neural network, expert control and human-like intelligent control, and hierarchical intelligent control and learning control, and provide relevant and useful programming for readers to practice

An energy balancing strategy based on Hilbert curve and genetic algorithm for wireless sensor networks

A wireless sensor network is a sensing system composed of a few or thousands of sensor nodes. These nodes, however, are powered by internal batteries, which cannot be recharged or replaced, and have a limited lifespan. Traditional two-tier networks with one sink node are thus vulnerable to communication gaps caused by nodes dying when their battery power is depleted. In such cases, some nodes are disconnected with the sink node because intermediary nodes on the transmission path are dead. Energy load balancing is a technique for extending the lifespan of node batteries, thus preventing communication gaps and extending the network lifespan. However, while energy conservation is important, strategies that make the best use of available energy are also important. To decrease transmission energy cost and prolong network lifespan, a three-tier wireless sensor network is proposed, in which the first level is the sink node and the third-level nodes communicate with the sink node via the service sites on the second level. Moreover, this study aims to minimize the number of service sites to decrease the construction cost. Statistical evaluation criteria are used as benchmarks to compare traditional methods and the proposed method in the simulations.Web of Scienceart. ID 572065

A balanced power consumption algorithm based on enhanced parallel cat swarm optimization for wireless sensor network

The wireless sensor network (WSN) is composed of a set of sensor nodes. It is deemed suitable for deploying with large-scale in the environment for variety of applications. Recent advances in WSN have led to many new protocols specifically for reducing the power consumption of sensor nodes. A new scheme for predetermining the optimized routing path is proposed based on the enhanced parallel cat swarm optimization (EPCSO) in this paper. This is the first leading precedent that the EPCSO is employed to provide the routing scheme for the WSN. The experimental result indicates that the EPCSO is capable of generating a set of the predetermined paths and of smelting the balanced path for every sensor node to forward the interested packages. In addition, a scheme for deploying the sensor nodes based on their payload and the distance to the sink node is presented to extend the life cycle of the WSN. A simulation is given and the results obtained by the EPCSO are compared with the AODV, the LD method based on ACO, and the LD method based on CSO. The simulation results indicate that our proposed method reduces more than 35% power consumption on average.Web of Scienceart. no. 72968

Hadamard transform based Equal-average Equal-variance Equal-norm nearest neighbor codeword search algorithm

New York, US

A Reduce Identical Composite Event Transmission Algorithm for Wireless Sensor Networks

Abstract: In this paper, a Reduce Identical Composite Event Transmission (RICET) algorithm is proposed to solve the problem of detecting composite events in wireless sensor networks. The RICET algorithm extends the traditional data aggregation algorithm to detect composite events, and this algorithm can eliminate redundant transmission and save power consumption, thereby extending the lifetime of the entire wireless sensor network. According to the experimental results, the proposed algorithm not only reduces power consumption by approximately 64.78% and 62.67%, but it also enhances the sensor node's lifetime by up to 8.97 times compared with some traditional algorithms