Mobility Models as a Key-Performance Factor for Wireless Networks

Nodes in wireless networks can be static or dynamic. Static nodes are stationary and their positions fixed distribution may follow a particular topology. On the other hand, dynamic considered mobile changed over time due to following specific pattern of movement, which also lead concept topology being irrelated. Simulating such needs lot attention many requirements should held. For instance, distributed according that reflects nature environment (e.g., Gaussian, Power-Law, Uniform distribution, etc.). Moreover, describing movement patterns need mobility model describes movements terms speed direction Individual model, Levy Flight Model, Cauchy Model). In addition aforementioned requirements, it is needed incorporate routing protocol governs data spread within simulation environment. This work designed variety experiments combine mentioned measure performance under colorful settings configurations. The metrics used this approach amount exchanged, coverage area, power memory consumption. Mobility models, node deployment strategy (distributions), protocols three factors will involved experiments. deal with four models Random Way Point Model (RWPM), Street (SRWPM), Manhattan (MM), (LFM). Three Power-Law Distribution, Chi-Squared Normal Distribution. third factor protocol, Probabilistic Flooding Routing Protocol. Different benchmarked using these metrics. results reveal facts about network simulations provide some recommendations developers architects.