By Mohammad S. Obaidat, Faouzi Zarai, Petros Nicopolitidis
Modeling and Simulation of machine Networks and structures: Methodologies and Applications introduces you to a huge array of modeling and simulation matters concerning computing device networks and structures. It makes a speciality of the theories, instruments, functions and makes use of of modeling and simulation to be able to successfully optimize networks. It describes methodologies for modeling and simulation of recent generations of instant and mobiles networks and cloud and grid computing structures.
Drawing upon years of sensible event and utilizing a variety of examples and illustrative purposes well-known specialists in either academia and undefined, discuss:
- Important and rising issues in desktop networks and platforms together with yet no longer restricted to; modeling, simulation, research and defense of instant and mobiles networks specifically as they relate to subsequent iteration instant networks
- Methodologies, concepts and instruments, and methods had to construct desktop networks and structures modeling and simulation from the ground up
- Different community functionality metrics together with, mobility, congestion, caliber of provider, safety and more...
Modeling and Simulation of computing device Networks and structures is a must-have source for community architects, engineers and researchers who are looking to achieve perception into optimizing community functionality by utilizing modeling and simulation.
- Discusses very important and rising subject matters in laptop networks and platforms together with yet now not constrained to; modeling, simulation, research and safety of instant and mobiles networks particularly as they relate to subsequent iteration instant networks
- Provides the required methodologies, ideas and instruments had to construct machine networks and structures modeling and simulation from the ground up
- Includes entire evaluate and review of simulation instruments and methodologies and varied community functionality metrics together with mobility, congestion, caliber of carrier, safety and more
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Additional info for Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications
13 Number of sources vs. DVQ (35 ms threshold). 14 Number of sources vs. number of cells lost/delayed. 14 shows the consequences of increasing the number of sources on cells lost and cells delayed . 7 CONCLUSION Wireless and mobile technologies have become a very critical part of our everyday life. Their present development is the outcome of various standardizations. In this chapter, we review the various generations of mobile wireless technology, References their requirements, portals, performance, architecture, multiplexing methods, advantages and limits of one generation over another.
SCS 2002;78(3):139À49.  Cavalcanti E, Spohn M. Predicting mobility metrics through regression analysis for random, group, and grid-based mobility models in MANETs. In: Proceedings of the IEEE symposium on computers and communications ISCC. Riccione, Italy; 2010. p. 443À48. C. Rodrigues5, and Mustapha Lalam2 1 UHA University, Mulhouse Cedex, France 2 UMMTO, Tizi-Ouzou, Algeria 3 USTHB, Bab Ezzouar, Algeria 4 Universidad Polite`cnica de Vale`ncia, Vale`ncia, Spain 5 Instituto de Telecomunicac¸o˜es, University of Beira Interior, Covilha˜, Portugal 1 INTRODUCTION A MANET (Mobile Ad hoc NETwork)  is a collection of hosts equipped with antennas which can communicate among each other without any centralized administration, using a wireless communication technology such as WiFi, Bluetooth, etc.
We added another parameter to the multi-point relay (MPR) technique used by this protocol. This new parameter allows fair energy consumption in the same MPR set. With this adaptation, nodes with low energy are prevented in the routing process in order to maintain similar energy values for all the mobile nodes. The second solution is CL-TCP (Cross Layer TCP) ; it proposes an adaptation of the congestion control mechanism of TCP with some information provided from the routing layer and focusing on route length (in terms of number of hops) and the mobility of nodes.