Análise de uma função específica caótica (Tenda), do gênero Mapa Logístico. Análise de caracteristicas como validade do coeficiente (m) para o intervalo, pontos fixos estáveis e instáveis (1ª e 2ª ordem) e coeficiente de Lyapunov.
En este informe se presenta detalladamente
el desarrollo de la primera practica de laboratorio, en
la cual encontramos la ley de ohm y sus aplicaciones en los
circuitos en paralelo y en serie, teniendo en cuenta las normas de
laboratorio para así lograr la correcta finalización de dicha guía.
Mobile ad-hoc network (MANET) is a collection of mobile
terminals forming an infrastructure less and quick deployable network,
which can communicate to each other via multiple hops or single hop.
Such ad-hoc networks have always been important for various applications like defence applications especially for countries like India having
boundaries and regions with large geographical diversity. Mobility attribute is a notable one in MANETs, as this leads to frequent topology
changes which are the primary cause of route failure. A route is an ordered set of links, hence for predicting future availability of any particular
route, it is important to estimate the availability of its currently available constituent links. This paper explores various link availability prediction model and proposes a least square polynomial regression-based
statistical approach to predict the availability of link. Proposed approach
assumes that movement of nodes are based on column mobility model i.e
each node in the network is linearly moving with constant speed. Each
node in the network periodically broadcasts hello packets to its neighbours to inform it’s availability in the network. Neighbour node receives
hello packet and uses its signal strength to estimate distance between
sender and receiver of hello packet. A monotonically decreasing signal
strength of hello packets at receiver node indicates that nodes are moving away from each other and link between them may break in future so
it starts link residual time prediction algorithm to predict the time when
the distance between them will exceed the pre-defined threshold value.
The proposed algorithm is simulated using NS 2.35. The performance
of the algorithm has been analyzed for identified parameters. The results are also been compared by simulating other existing link prediction
approaches based on interpolation.