A Graphical-based educational simulation tool for Wireless Sensor Networks

被引:6
作者
Sabor, Nabil [1 ,2 ]
Sasaki, Shigenobu [1 ]
Abo-Zahhad, Mohammed [2 ]
Ahmed, Sabah M. [2 ]
机构
[1] Niigata Univ, Dept Elect & Elect Engn, Niigata 9502181, Japan
[2] Assiut Univ, Dept Elect & Elect Engn, Fac Engn, Assiut 71516, Egypt
关键词
Wireless Sensor Networks; Routing protocols; Genetic algorithm; Immune algorithm; Open source software; Command-line; Graphic; Educational software; CLUSTERING PROTOCOL; ROUTING PROTOCOL; J-SIM; ENVIRONMENT; ALGORITHM; LIFETIME;
D O I
10.1016/j.simpat.2016.09.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Many routing protocols have been developed to improve the lifetime, bandwidth reusability and scalability of the Wireless Sensor Networks (WSNs). The operation of routing protocols is difficult to understand and some problems may occur while developing these protocols. Simulation is a relatively fast way of estimating these protocols and understating what is happening in the network. Thus, this paper presents an open source Graphical based educational simulation tool called Gbest-WSN for simulating routing protocols of the static and mobile, homogeneous and heterogeneous WSNs. Gbest-WSN tool has a user-friendly interface that helps the user to select the routing protocol and define the network configuration. It is provided with four routing protocols; namely LEACH, LEACH-Mobile, immune algorithm-based and genetic algorithm-based routing protocols. Also, it allows the user to update the existing routing protocols and add a new routing protocol. Gbest-WSN is provided with radio, coverage and mobility models for modeling the hardware of the sensor node. It shows a detailed 2D and 3D graphical perception for what is happing during the routing process. Also, it has the ability to compare the simulation results of different simulation methods or different network configurations. In addition, it allows the user to save and load simulation scenarios and also exports the graphical results on PDF files and the statistical results on excel or mat files. Moreover, Gbest-WSN is provided with html help documents to help the user how to use it. The illustrative simulation examples clarified that the Gbest-WSN is a helpful tool for the students, teachers and researchers who work in the field of WSNs. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:55 / 79
页数:25
相关论文
共 43 条
[1]  
Abo-Zahhad M, 2014, International Journal of Energy, Information and Communications, V5, P47, DOI [10.14257/ijeic.2014.5.3.05, DOI 10.14257/IJEIC.2014.5.3.05]
[2]   Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor Networks [J].
Abo-Zahhad, Mohammed ;
Ahmed, Sabah M. ;
Sabor, Nabil ;
Sasaki, Shigenobu .
IEEE SENSORS JOURNAL, 2015, 15 (08) :4576-4586
[3]  
[Anonymous], 2012, INT J DISTRIBUTED SE
[4]  
[Anonymous], 2006, SENS SIM SIM FRAM NE
[5]  
[Anonymous], INFORM TECHNOLOGY J
[6]   A multi-criterion optimization technique for energy efficient cluster formation in wireless sensor networks [J].
Aslam, Nauman ;
Phillips, William ;
Robertson, William ;
Sivakumar, Shyamala .
INFORMATION FUSION, 2011, 12 (03) :202-212
[7]   Cluster Based Routing Protocol for Mobile Nodes in Wireless Sensor Network [J].
Awwad, Samer A. B. ;
Chee Kyun Ng ;
Noordin, Nor K. ;
Rasid, Mohd Fadlee A. .
WIRELESS PERSONAL COMMUNICATIONS, 2011, 61 (02) :251-281
[8]  
Baranidharan B., 2015, J SENSORS, V2015, P1
[9]   A Novel Cross-layer Routing Protocol for Increasing Packet Transfer Reliability in Mobile Sensor Networks [J].
Cakici, Suleyman ;
Erturk, Ismail ;
Atmaca, Sedat ;
Karahan, Alper .
WIRELESS PERSONAL COMMUNICATIONS, 2014, 77 (03) :2235-2254
[10]   A survey of mobility models for ad hoc network research [J].
Camp, T ;
Boleng, J ;
Davies, V .
WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2002, 2 (05) :483-502