Autonomic wireless access systems was a model created in order to support the development of communication networks in the direction of efficient flexibility and extensibility to a large sort of potential faults and attacks. On the other hand, particular importance is given on the foundation values to accomplish focused behaviour over a self-organization. Therefore, an autonomic system allows the performance of an autonomic network when including self-management, self-configuration, self-optimization, self-healing and self-protection and the relation with different numerous of dynamic network groups and communities. As a result, every day more people, private customers and enterprises are employing wireless access technologies in order to achieve better connection, mobility and easier reception at any location. However, as the significance of this wireless technology has been increasing with the time, the need of autonomic self-management systems became crucial. In fact, this dissertation will collaborate to the actual investigations related with autonomic wireless management systems. In addition, when considering autonomic networks is critical the examination of protection requirements and the administration of security infrastructure. The system presented in this report will illustrate a qualitative evaluation and simulation results that shows self-healing characteristics and autonomous conduct. It presents some of the disadvantages found when trying to simulate an autonomic behaviour and the restrictions of using software simulators.
Self-management  is the core of autonomic networks, and its intention is to liberate systems administrators from the facts of system operation and maintenance and to give users with a machine that can be used at all times. In addition autonomic systems will preserve and regulate their operation in the case of changing components, hardware failures, software malfunctions, and outdoor conditions. The autonomic system has the capacity of frequently supervise itself, and check for component improvements.
Self-configuration takes part when the system can configure itself in harmony with high-level procedures. In the case of a new component is adapted, this will incorporate itself easily, and the rest of the system will adjust to its incidence.
Self-optimization means the way that several parameters must be set correctly for the network to work ideally. Autonomic systems try to improve the operation of different technologies by identifying and gathering their main functions in order to make them much more competent in performance or cost. Therefore, is here when autonomic systems will monitor and experiment with their individual factors in order to make proper choices, verifying, and applying the most recent updates.
Self-healing takes place when the system can identify, trace and determine the origin and cause of a particular malfunction in complex mobile ad hoc networks . On the other hand, serious user problems can occur and their explanation can take several weeks to be detected and fixed. However, autonomic systems will discover, analyse, and restore localized failures by using information about its individual system configuration and may be through a regression tester.
Self-protection over autonomic systems can be applied in two ways.
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