Volume 10, Issue 12, December 2018

 

 

Performance Comparison between FIT and MoM Based Solvers for Microstrip Patch Array Antennas with Conventional Geometries
 

Performance Comparison between FIT and MoM Based Solvers for Microstrip Patch Array Antennas with Conventional Geometries

Pages: 220-226 (7) | [Full Text] PDF (711 KB)
O BARROU, AE AMRI, A REHA, N HAMMOUCH
DRITM Laboratory, CED Engineering Sciences, ESTC, Hassan II University of Casablanca, Casablanca, Morocco
Electronic Department, ISGA Marrakech, Marrakech, Morocco
Smart Communications Research Team, E3S Research Center, EMI, Mohammed V University, Rabat, Morocco

Abstract -
In this paper, a comparative study of Microstrip patch array antennas based on conventional geometries was performed. First, single element patch antennas with rectangular, triangular and circular geometry were studied based on the Transmission Line Model (TLM). The results have been optimized and validated by FEKO a solver which is based on the Method Of the Moments (MoM) after that it validate by CST a solver which is based on the Finite Integration Technique (FIT). Thereafter, we compare the performances of the antennas versus the geometry shape. Next, two and four elements for each geometry are studied in order to analyze their effect on the HPBW (Half Power Beam Width) and the total gain. A comparison of the results given by FEKO and CST is performed.
 
Index Terms - Array, antennas, Beamforming, circular, Finite Integration Technique, Hexagonal, Method Of Moments, rectangular, triangular

Citation - O BARROU, AE AMRI, A REHA, N HAMMOUCH. "Performance Comparison between FIT and MoM Based Solvers for Microstrip Patch Array Antennas with Conventional Geometries." International Journal of Computer Engineering and Information Technology 10, no. 12 (2018): 220-226.

Application of Fuzzy Optimal Path Algorithm for Bus Route Expansion in Thai Nguyen City
 

Application of Fuzzy Optimal Path Algorithm for Bus Route Expansion in Thai Nguyen City

Pages: 227-231 (5) | [Full Text] PDF (706 KB)
TMT Duong, HN Phuong, TM Duong
Department of Computer Science, University of Information and Communication Technology, Thai Nguyen, Vietnam
Department of Electronics Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

Abstract -
One frequently encountered problem in building and applying Geographical Information Systems (GIS) is to find the optimal path (shortest path). Bus route expansion is one demonstration example. The essence of this problem is the implementation of two options. The first is selecting potential locations for bus stop, and the other is choosing one optimal route which go through some potential locations with “lowest cost”. In the past, the problem of finding the optimal path in GIS will be implemented under hard computing. However, geographical data are inherently inaccurate and imprecise. Therefore, a fuzzy logic approach will make the solution to the problem of optimal path becomes more flexible. In this paper, the authors present four steps to expand bus routes in Thai Nguyen city of Vietnam in which using the fuzzy optimal path algorithm. It includes map database collection, map overlay (to identify potential locations), data fuzzification and appling the fuzzy optimal path algorithm.
 
Index Terms - Geographic Information System, Bus Route Expansion, Fuzzy Shortest Path, Fuzzy Optimal Path Algorithm

Citation - TMT Duong, HN Phuong, TM Duong. "Application of Fuzzy Optimal Path Algorithm for Bus Route Expansion in Thai Nguyen City ." International Journal of Computer Engineering and Information Technology 10, no. 12 (2018): 227-231.

Cluster-based In-network Analytics for Wireless Sensor Networks
 

Cluster-based In-network Analytics for Wireless Sensor Networks

Pages: 232-242 (11) | [Full Text] PDF (836 KB)
A Rageh, MA El-Kheir, AEM Riad
Mansoura University, Mansoura, Egypt

Abstract -
A major challenge that faces the wide-range deployment of Wireless Sensor Networks (WSNs) is the sensor nodes limited energy supplies. The majority of WSN applications need sensors to have a long lifetime without human intervention and battery replacement. Consequently, energy conservation is one of the basic goals in WSNs. Design approaches to maximize network lifetime like duty cycling, low power, and listening modes have been proposed. In this paper, we explore the energy saving possibilities through in-network analysis patterns. Propose a scheme to perform in-network analytics which increases the lifetime of the network and reduces the random flooding of the messages, thus improving the bandwidth of the entire network.
 
Index Terms - Wireless Sensor Networks, WSNs, Embedded data Analytics, Lifetime Network, Clusters

Citation - A Rageh, MA El-Kheir, AEM Riad. "Cluster-based In-network Analytics for Wireless Sensor Networks." International Journal of Computer Engineering and Information Technology 10, no. 12 (2018): 232-242.