low complexity scheduling algorithm
Low-Complexity Distributed Multibase Transmission and Scheduling
... a low-complexity scheduling algorithm, which can be employed with different objective functions, exemplified here by two approaches: (1) maximizing the sum rate of the network; and (2) ...
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A low complexity algorithm for the joint antenna selection and user scheduling in multi cell multi user downlink massive MIMO systems
... (ES) algorithm by considering all possible combinations of BS antennas and users, which leads to the exponential growth of the combinatorial complexity with the increasing of the number of BS antennas and ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... the algorithm works poorly on small documents and produces many potentially dupli- ...improved algorithm named DSC-SS Digital syntactic clus- tering- Super ...this algorithm, the shin- gles are ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... assembly algorithm that uses fuzzy logic to adjust the threshold of the timer-based burst assembly algorithm is ...the algorithm is to minimize loss and end-to-end ...new algorithm shows ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... the algorithm located burly restriction on the probable set of active paths—namely, it was understood that the early and last surround of both the test and orientation expression were in exact time ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... Context-aware multicast routing for ESM dissemination (CMED) protocol [16]. This protocol is basically a multicasting protocol. The objective of this protocol is to reduce unnecessary transmissions and to deliver Event ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... Intuitionistic Fuzzy Soft Set theory IFSS may be more applicable in uncertainty and imprecision .The parameterization tool of fuzzy soft set theory enhances the flexibility of its applic[r] ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... fusion algorithm performs given restricted computation amidst software and hardware failures, leading to errors like failure-to- acquire and ...fusion algorithm sequentially used match scores to get desired ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... International Journal of Engineering and Technology IJETISSN: 0975-4024 Volume- 5 No 3 Jun-Jul 2013 [20] Implementation of ATM Security by Using Fingerprint recognition and GSM.. Interna[r] ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... PCA strength for data analysis is from efficient computational mechanism, and due to it being understood and from general applicability. PCA transforms initial data set represented by vector samples into a new vector ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... KY converter and buck converter, combined into a positive buck–boost converter is a recently proposed system by K. I. Hwuet. Al. This converter produces low output voltage ripple than the conventional DC- DC ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... As we have already seen, a sensor network that is characterized by a lack of infrastructure is making the task of routing data complex in contrast to a conventional telecommunications network. Self organization is one of ...
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Low Complexity Scheduling and Coding for Wireless Networks
... us to our final contribution in this thesis. We consider the simplest scenario of a source communicating with a destination with the help of a single half-duplex relay. We propose and evaluate QUILT, a system for ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... currency exchange rate [6] and stock markets [7]. In this paper, we apply Backpropagation Neural Network (BPNN) to predict ERC. BPNN is proposed to predict since BPNN is trial and error method and the most popular ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... The information should be understood into a senior, domain-relevant notion, such as whether the user is suffering from a heart attack or exercising. The higher-level thought is called a situation, which is a theoretical ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... Kurtosis. Inverse Difference Moment, Contrast, Correlation, Energy, Entropy, Homogeneity, Sum Average, Sum Variance, Sum Entropy, Difference Variance, and Difference Entropy are eleven features extracted from GLCM. Short ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... Another key factor that is satisfied with this approach is Load Balance. Load balance is achieved by transmitting packets on the path, based on the opportunistic routing feature exuded in the proposed algorithm. ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... The genetic algolrithm is a searching algorithm that based on the mechanism of nature selection and genes. The purpose was to determine the structures of qualified individual in the population to find a best ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... This is followed by the existing research work the method for the detection of the Sybil attack based on range particularly suitable for systems of low-cost and lacking resources of wireless sensor network [1]. ...
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A PROFICIENT LOW COMPLEXITY ALGORITHM FOR PREEMINENT TASK SCHEDULING INTENDED FOR HETEROGENEOUS ENVIRONMENT
... 3. When the node commercial is finished, the BS runs the Gaussian disposal calculation and figures the amount of rounds at which each node could be a cluster head, attempting to boost the system lifetime. In the first ...
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