Load balancing is a technique for equal and fair distribution of workloads on resources and maximizing their performance as well as reducing the overall execution time. However, meeting all of these goals in a single algorithm is not possible due to their inherent conflict, so some of the features must be given priority based on requirements and objectives of the system and the desired algorith...

a wireless sensor network consists of many inexpensive sensor nodes that can be used toconfidently extract data from the environment .nodes are organized into clusters and in each cluster all non-cluster nodes transmit their data only to the cluster-head .the cluster-head transmits all received data to the base station .because of energy limitation in sensor nodes and energy reduction in each d...

An inventory model is formulated with type-2 fuzzy parameters under trade credit policy and solved by using Generalized Hukuhara derivative approach. Representing demand parameter of each expert's opinion is a membership function of type-1 and thus, this membership function again becomes fuzzy. The final opinion of all experts is expressed by a type-2 fuzzy variable. For this present problem, t...

In this paper, we develop a new approach to deal with neutrosphic shortest path problem in a network in which each edge weight (or length) is represented as triangular fuzzy neutrosophic number. The proposed algorithm also gives the shortest path length from source node to destination node using ranking function. Finally, an illustrative example is also included to demonstrate our proposed appr...

The sensor node localization with an acceptable accuracy is a fundamental and important problem for location-aware applications of Wireless Sensor Networks (WSNs). Among numerous localization schemes proposed specifically for WSNs, the Received Signal Strength (RSS) based range-free localization techniques have attracted considerable research interest for their simplicity and low cost. However,...

Systems applying fuzzy logic are rule based ones. The collection of the rules the so called rule base can be characterized as dense or sparse depending on whether there exist rules for all the possible observations. In the sparse case for some observations there are no rules whose antecedent part would overlap the observation at least partially. Therefore the classical compositional reasoning m...

Statistical Quality Control is a valuable strategy that applies to the statistical technique for monitoring manufacturing system under particular situations. On other hand, fuzzy set theory an ideal instrument cope with unclear situation. The existing studies are restricted, and there still mystery behind data. This paper deals technique: namely, control chart based on process capability indice...

Mobile ad hoc network is a network without infrastructure where every node has its own protocols and services for powerful cooperation in the network. Every node also has the ability to handle the congestion in its queues during traffic overflow. Traditionally, this was done through DropTail policy where the node drops the incoming packets to its queues during overflow condition. Many studies s...

The node localization problem in mobile sensor networks has recently received significant attention. Particle filters, adapted from robotics, have produced good localization accuracies in conventional settings, but suffer significantly when used in challenging indoor and mobile environments characterized by a high degree of radio irregularity. We propose FuzLoc, a fuzzy logic-based approach for...

In this study, a distributed fuzzy logic (DFL) method with five input parameters namely, energy, centrality, distance to base station, number of hops and node density is proposed for efficient root election system. In order to prevent high energy consumption during message transmission, we made each node run fuzzy logic engine distributedly. We decrease the number of message transmissions from ...