The wireless network places vital role in the present day communication scenario. The ad hoc nature of wireless communication adds flavour to suit various real world applications. This improves the performance of the network tremendously while the clustering mechanism gets added to the ad hoc network. It has been found out that the existing WCA lacks in forming efficient clusters. Thus, this work proposes an Extended weighted partitioning around cluster head mechanism by considering W-PAC as a base to form clusters. The cluster members are configured with IPv6 address. This IPv6 clusters formed through W-PAC will be taken further for validation to determine the perfectness of clusters. The cluster formation and maintenance have been implemented in C++ as a programming language. The cluster validation has been carried out using OMNET++ simulator.
-The wired mode of communication will no longer serve the purpose of our present scenario network where the expectations in communications system have been skyrocketed. Thus, wireless network with ad hoc nature will suit the present and forthcoming real world applications. This ad hoc wireless network will bind the entire globe and will reign the communication system tomorrow. But, ad hoc network has been limited by the growth factor. In order to address this issue, the clustering mechanism has been incorporated into this ad hoc network to get better results in terms of the network functionality. The ad hoc network efficiency has been improved when the clusters have been devised properly. There are various parameters which identify the efficacy level of clusters in networks. Existing cluster formation algorithms give more weight to any one of the parameters (degree, distance, energy, mobility) when selecting the cluster head of the cluster. This selection of parameters should be corresponding to the application to which the clusters are devised and cluster heads are selected. There is a desperate need for identifying the appropriate cluster head based on the importance given to parameters at various scenarios. Thus, this paper proposes NNPAC (Neural Network based Partitioning Around Cluster head), a generic method of cluster head election to fit for different applications. Implementation of this work has been carried out with the help of MATLAB simulator.
A new decentralized access management theme for secure knowledge storage in clouds that support anonymous authentication. During this theme, the cloud verifies the believability of the user while not knowing the user's identity before storing knowledge and additionally has value-added the feature of access management during which solely valid users area unit ready to rewrite the hold on data. The theme prevents reply attack and supports creation, modification, and reading the information hold on within the cloud user and additionally has the address user revocation. Moreover, our authentication and access management theme is decentralized and sturdy, in contrast to alternative access management schemes designed for clouds that area unit centralized. The communication, computation, and storage overheads area unit resembling centralized approaches. If the user doesn't have credentials to urge the key and incorrectly coming into key to access the file implies that persona non grata identification activates the system to transfer a pretend file to the persona non grata and inform to the administrator of the system {and the|and therefore the|and additionally the} user who created that file is try and access and also hide the attribute and access policy of a user.
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