scholarly journals Layered Mobility Model Architecture - LEMMA

Author(s):  
Alexander P Pelov ◽  
Thomas Noel

This paper presents the generic layered architecture for mobility models (LEMMA), which can be used to construct a wide variety of mobility models, including the majority of models used in wireless network simulations. The fundamental components of the architecture are described and analyzed, in addition to its benefits. One of the core principles stipulates that each mobility model is divided in five distinct layers that communicate via interfaces. This allows their easy replacement and recombination, which we support by reviewing 19 layers that can form 480 different mobility models. Some of the advanced features provided by the architecture are also discussed, such as layer aggregation, and creation of hybrid and group mobility models. Finally, some of the numerous existing studies of the different layers are presented.

Author(s):  
Tsehay Admassu Assegie ◽  
Tamilarasi Suresh ◽  
R. Subhashni ◽  
Deepika M

<span>Wireless mesh network (WMN) is a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area network (WLAN). Test bed analysis and emulation plays an essential role in valuation of software defined wireless network and node mobility is the prominent feature of next generation software defined wireless network. In this study, the mobility models employed for moving mobile stations in software defined wireless network are explored. Moreover, the importance of mobility model within software defined wireless mesh network for enhancing the performance through handover-based load balancing is analyzed. The mobility models for the next generation software defined wireless network are explored. Furthermore, we have presented the mobility models in the mininet-Wi-Fi test bed, and evaluated the performance of Gauss Marko’s mobility model.</span>


10.29007/s5q1 ◽  
2019 ◽  
Author(s):  
Thenuka Karunathilake ◽  
Asanga Udugama ◽  
Anna Förster

The IoT influence is growing rapidly and it is expected that in the near future the number of connected IoT nodes will be in billions. Mobility of nodes is a key aspect in the IoT and network simulations are used to evaluate the performance of IoT networks with mobility. The increasing number of nodes will affect simulation environments by in- creasing the number of nodes per simulation and these simulations will require a long time to complete. So, techniques to reduce the time consumed in simulations are important. A possible technique is the use of contact traces when simulating mobility. A contact trace differs from a real trace or a synthetic mobility model in that, it deals with contact information instead of coordinate information. In this work, we have compared the per- formance of contact traces against coordinate based real traces and mobility models. For our evaluations we use the OPS framework of models built in OMNeT++. In the contact based approach, the use of real traces or mobility models will be removed and instead, nodes will use contact traces to obtain information about connections with other nodes. But this approach requires an additional step, before a simulation, to generate the contact traces. Even with this step, we show that using contact traces is advantageous in terms of simulation durations. When the scale of simulations increase (i.e., in terms of number of nodes, simulated times, etc.), the results presented show that the advantage increases considerably.


2015 ◽  
Vol 85 (3) ◽  
pp. 1317-1331 ◽  
Author(s):  
Cherry Ye Aung ◽  
Boon Chong Seet ◽  
Mingyang Zhang ◽  
Ling Fu Xie ◽  
Peter Han Joo Chong

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Dávid Hrabčák ◽  
Martin Matis ◽  
L’ubomír Doboš ◽  
Ján Papaj

In the real world, wireless mobile devices are carried by humans. For this reason, it is useful if mobility models as simulation tools used to test routing protocols and other MANET-DTN features follow the behaviour of humans. In this paper, we propose a new social based mobility model called Students Social Based Mobility Model (SSBMM). This mobility model is inspired by the daily routine of student’s life. Since many current social based mobility models give nodes freedom in terms of movement according to social feeling and attractivity to other nodes or places, we focus more on the mandatory part of our life, such as going to work and school. In the case of students, this mandatory part of their life is studying in university according to their schedule. In their free time, they move and behave according to attractivity to other nodes or places of their origin. Finally, proposed SSBMM was tested and verified by Tools for Evaluation of Social Relation in Mobility Models and compared with random based mobility models. At the end, SSBMM was simulated to examine the impact of social relations on routing protocols.


2012 ◽  
Vol 241-244 ◽  
pp. 2504-2509
Author(s):  
Yan Li ◽  
Qiao Xiang Gu

The equipment, called detection platform of the cylinders, is used for detecting cylinders so that cylinders can be at ease use. In order to transmit the real-time detection data to PC for further processing, the platform should be connected with PC. Cable connection, in some production and environmental conditions, is limited. Under the circumstance, building wireless network is the better choice. Through comparative studying, ZigBee is chosen to be the technology for building wireless network. ZigBee chip and ZigBee2006 protocol stack are the core components in the ZigBee nodes.


2021 ◽  
Author(s):  
Yusi Chen ◽  
Ying Lu ◽  
Jin Liu ◽  
Qi Guo ◽  
Nierui Fan ◽  
...  

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