Abstract A vehicular ad‐hoc network (VANET) is derived from a mobile that part of less infrastructure design. Vehicular communication in VANET can be achieved using vehicle‐to‐infrastructure (V2I) and vehicle‐to‐vehicle (V2V) communication. vehicle communicates with other vehicles through onboard units while communicating roadside an mode. Secure clustering required for the between nodes whole ...

Nowadays, congestion on the network becomes a usual fact which is to be focused and addressed appropriately especially in Wireless Sensor Networks (WSN) for crammed type networks. Limited capacity channel wastage of energy are root cause WSN. The effects implies QoS parameters, queue length, data arrival rate etc. Furthermore, packets should transmitted energy-efficiently sink node. In this reg...

Data gathering in wireless sensor networks (WSN) consumes more energy due to large amount of data transmitted. In direct transmission (DT) method, each node has to transmit its generated data to the base station (BS) which leads to higher energy consumption and affects the lifetime of the network. Clustering is one of the efficient ways of data gathering in WSN. There are various kinds of clust...

Wireless Sensor Network (WSN) is a hot research area due to its use in many military and civilian applications. WSN consists of distributed small, low power and limited capabilities sensors that are scattered in the network field to sense different parameters in the environment. The sensed data will be sent to a more powerful node called sink node (Base Station). The sink node is usually connec...

an efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. the implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. according to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses fuzzy inference systems to select cluster head. the alg...

In this article the issue of data based modeling is dealt with the help a network of uniform multivariate fuzzy classifiers. Within this framework the innovation consists in the specification of a hierarchical design strategy for such a network. Concretely, the two network specifying factors, namely the layout of the network structure and the classifier nodes configuration, will be addressed by...

In this paper, the effect of the removal of a node or an arc of a fuzzy graph on the minimum strong dominating set of the fuzzy graph is studied. The motivation behind this study is the identification of fault tolerance in the topological design of a network. That is, the ability of the network to provide service even when it contains a faulty component or components. MSC: 05C69.

In this paper, we propose an efficient and stable algorithm employing fuzzy logic for available bit rate (ABR) traffic. Large time-delay incurred in the feedback path and the statistical variation in the link capacity at the ATM node can cause instability or unfairness. The stability and fairness issues are discussed and the performance of the proposed mechanism is evaluated. key words: ABR, AT...

Abstract. In this paper we present the fuzzy shortest path and shortest path length with Type-2 fuzzy number. To solve this problem we proposed an algorithm from a specified node to other nodes in a network and we have compared the results with other distance measures like Hamming, Normalized Hamming, Exponential type distance measures also. Our proposed algorithm is illustrated with the help o...

In order to overcome the difficulty of cognitive and mining for large-scale multi-relationship system, we take the advantages of intelligent computing of FCM (Fuzzy Cognitive Map) and update the traditional FCM to MRFCM (Multi-Relationship based Fuzzy Cognitive Map) for multi-relationship data mining. The state mining of hyper-node and multi-relationship inference of MRFCM are studied and imple...