By Margherita Pagani (Editor), Margherita Pagani
The encyclopedia is an enormous supplying that explains the gamut of present multimedia and networking efforts. It encompasses papers that pass into various issues. Like social networking groups; a contemporary scorching merchandise on the net. Or the continuing upward thrust of malware assaults, like viruses and worms and phishing.
There is an effective stability among discussing advancements and better point software program purposes and usages. In many ways, the "multimedia" within the name is unduly restrictive. it's the "networking" which conveys the wider scope of the book.
The ebook additionally attempts to appear ahead. a number of authors provide their rules as to destiny developments. it is a tossup how those may prove. yet total, the publication conveys the dynamic, freewheeling spirit of the web.
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Additional info for Encyclopedia of Multimedia Technology and Networking (2 Volume Set)
Node A is the source node and node H is the destination node. All routes are expressed by the network tree model shown in Figure 3. The shaded areas show the same routes from node C to H. Therefore, the network tree model of Figure 3 can be reduced as shown in Figure Figure 1. GA cycle Figure 2. Network example with 8 nodes Chromosomes Chromosomes Population Offsprings Genetic Genetic Operations Operations B Crossover Crossover D Evaluation Evaluation Mutation Mutation Fitness Fitness A E C Parent Selection Selection H G F 23 A Application of Genetic Algorithms for QoS Routing in Broadband Networks Figure 3.
Shi, M. (2003). Social network-based discriminatory pricing strategy. Marketing Letters, 14(4), 239-256. Shy, O. (2001). The economics of network industries. Cambridge: Cambridge University Press. , Lilien, G. , & Rangaswamy, A. (2004). First in, first out? The effects of network externalities on pioneer survival. Journal of Marketing, 68(1), 41-58. Swann, G. M. P. (2002). The functional form of network effects. Information Economics and Policy, 14(3), 417-429. Katz, M. , & Shapiro, C. (1985). Network externalities, competition, and compatibility.
The most important factor to achieve efficient genetic operations is gene coding. In the case when GA is used for routing and the algorithm is a sourcebased algorithm, a node which wants to transmit the information to a destination node becomes the source node. There are different coding methods of network nodes as GA genes. A simple coding method is to map each network node to a GA gene. Another one is to transform the network in a tree network with the source node as the root of tree. After that, the tree network may be reduced in the parts where are the same routes.