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A NOVEL SECURE AND RELIABLE ROUTING PROTOCOLS FOR HETEROGENEOUS MULTIHOP WIRELESS NETWORKS

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In this abstract, we propose E-STAR, a secure protocol for Establishing Stable and reliable Routes in HMWNs. E-STAR integrates trust and payment systems with a trust based and energy aware routing protocol. E-STAR aims to identify the good nodes and select them in routing. The payment system uses credits (or micro payment) to charge the […]

A Novel Errors Detection Approach For Time Efficient In Big Sensor Data On Cloud

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Big data set from sensors is often subject to corruption and losses due to wireless medium of communication and presence of hardware inaccuracies in the nodes. For a WSN application to deduce an appropriate result, it is necessary that the data received is clean, accurate, and loss-less. However, effective detection and cleaning of sensor big […]

E-STAR – SECURE AND RELIABLE ROUTING PROTOCOLS FOR HETEROGENEOUS MULTIHOP WIRELESS NETWORKS

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ESTAR integrates payment and trust systems with the routing protocol with the goal of enhancing route reliability and stability. We propose a multidimensional trust system based on processing the payment receipts. ESTAR stimulates the nodes not only to relay others’ packets even if they have many credits, but also to stabilize the routes and report […]

DIDRIP – A NOVEL SECURE AND DISTRIBUTED DATA DISCOVERY AND DISSEMINATION IN WIRELESS SENSOR NETWORKS

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This paper proposes the first secure and distributed data discovery and dissemination protocol named DiDrip. It allows the network owners to authorize multiple network users with different privileges to simultaneously and directly disseminate data items to the sensor nodes. Moreover, as demonstrated by our theoretical analysis, it addresses a number of possible security vulnerabilities that […]

A NOVEL SECURE AND DISTRIBUTED DATA DISCOVERY AND DISSEMINATION PROTOCOL IN WSN

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The need of distributed data discovery and dissemination protocols is not completely new, but previous work did not address this need. We study the functional requirements of such protocols, and set their design objectives. Also, we identify the security vulnerabilities in previously proposed protocols. Based on the design objectives, we propose DiDrip. It is the […]

ESTIMATE THE REGULARIZATION PARAMETER FOR SRDA

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This abstract proposes to automatically estimate the optimal regularization parameter of SRDA based on the perturbation linear discriminant analysis (PLDA). In addition, two parameter estimation methods for the kernel version of SRDA are also developed. One is derived from the method of optimal regularization parameter estimation for SRDA. The other is to utilize the kernel […]

HOW TO ESTIMATE THE REGULARIZATION PARAMETER FOR SRDA AND ITS KERNEL VERSION

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Dimension reduction is the process of reducing the number of random variables under consideration, and can be divided into feature selection and feature extraction. Spectral regression discriminant analysis (SRDA) has recently been proposed as an efficient solution to large-scale subspace learning problems. There is a tunable regularization parameter in SRDA, which is critical to algorithm […]

DBP WITH THE APPLICATION IN HOTEL ENERGY MANAGEMENT

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For DBP, optimization problem is formulated with the objective of maximizing expected reward, which is received when the amount of energy saving satisfies the contract. For a general distribution of energy consumption, we give a general condition for the optimal bid and outline an algorithm to find the solution without numerical integration. Furthermore, for Gaussian […]

HOTEL ENERGY MANAGEMENT USING DEMAND BIDDING PROGRAM AND ITS APPLICATION

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Demand bidding program (DBP) is one type of demand response. DBP attracts large energy consumers to participate and encourages them to reduce their energy use by setting their own target. The customer is free to choose a bidding value in terms of the amount of energy reduction. If the actual amount of energy saving conforms […]

A NOVEL ITERATIVE TRICLASS THRESHOLDING TECHNIQUE BASED ON OTSU’S METHOD IN IMAGE SEGMENTATION

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Image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries […]