Energy optimized fault tolerance for pervasive communication spaces

Kamenik, Jens

doi:10.1109/percom.2009.4912814

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…Recent analysis of the top decays in the tt production channel already probes V tb in semitauonic decays of the top quark with competitive precision [46,47].…”

Section: B Semitauonic Top Decaysmentioning

confidence: 99%

Vector leptoquark resolution of R and RD(⁎) puzzles

2016

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We propose that three recent anomalies in B meson decays, R D ( * ) , RK , and P 5 , might be explained by a single vector leptoquark weak triplet state. The constraints on the parameter space are obtained by considering t → bτ + ν data, lepton flavor universality tests in the kaon sector, bounds on B → K ( * )ν ν, bound on the lepton flavor violating decay B → Kµτ , and measurements of b → cµ −ν decays. The presence of such vector leptoquark could be exposed in precise measurements of t → bτ ν and B → K ( * )ν ν decays. The model also predicts approximate equality of lepton flavor universality ratios RK * , RK , and suppressed branching fraction of Bs → µ + µ − . * Electronic address:svjetlana.fajfer@ijs.si † Electronic address:nejc.kosnik@ijs.si arXiv:1511.06024v4 [hep-ph]

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“…Recent analysis of the top decays in the tt production channel already probes V tb in semitauonic decays of the top quark with competitive precision [46,47].…”

Section: B Semitauonic Top Decaysmentioning

confidence: 99%

Vector leptoquark resolution of R and RD(⁎) puzzles

2016

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“…A survey different techniques designed for ubiquitous fault-tolerant were explained in [10]. A new approach was introduced in [11] for using the application query workloads to recognize the best tradeoff between query communication costs and availability in data storage centric sensor network. Autonomic middleware architecture was designed in [12] for software component reconfiguration depending on ontology with fault-tolerance in ubiquitous computing environment.…”

Section: Related Workmentioning

confidence: 99%

“…Step 1: Evaluate the number of authorized mobile node by using (4) Step 2: Evaluate the number of unauthorized mobile node by using (8) Step 3: Measure one step transition probability of mobile nodes using (9) Step 4: Measure N-step transition probability of mobile nodes using (11) Step 5: Authorized mobile nodes with higher energy are combined to construct a Marko chain in its corresponding path for efficient communication by using (12) Step 6: The lower energy nodes and unauthorized mobile nodes in communication path are efficiently removed according to the property of Markov chain by using (14) Step 7: Provides resource efficient QoS END…”

Section: Beginmentioning

confidence: 99%

Fault Tolerance and QoS based Pervasive Computing using Markov State Transition Model

David

Santhosh

2018

IJET

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Fault-tolerance is significant in pervasive computing environments. Recently, few research works has been developed for reducing the fault, occurring in pervasive computing. However, there is a need for a fault tolerance mechanism to reduce the link failures and unwanted mobile node access (in pervasive computing environment). In order to overcome these limitations, Markov State Transition Based Fault Tolerance (MST-FT) Model is proposed. The main objective of MST-FT Model is to achieve resource efficient QoS in pervasive computing environment by avoiding the link failures and unwanted mobile node usages. Initially, the optimization of link failures is achieved by maintaining Markov chain of high energy mobile nodes on the wireless network communication path. The mobile nodes with higher energy and minimal drain rate are combined to form a chain in its corresponding path of communication in order to minimize the link failures in pervasive computing. Next, the inappropriate mobile node usage is avoided by selecting only the authorized mobile nodes for Markov chain construction to effective network communication, which resulting in improved fault tolerant rate. Therefore, MST-FT Model provides higher resource efficient QoS as compared to existing works. The performance of MST-FT Model is measured in terms of fault tolerant rate, execution time, energy consumption rate and quality of service level. The simulation results show that the MST-FT Model is able to improve the fault tolerant rate by 13% and also reduces the energy consumption rate of resource efficient QoS by 25%, when compared to previous works.

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Energy optimized fault tolerance for pervasive communication spaces

Cited by 2 publications

References 11 publications

Vector leptoquark resolution of R and RD(⁎) puzzles

Vector leptoquark resolution of R and RD(⁎) puzzles

Fault Tolerance and QoS based Pervasive Computing using Markov State Transition Model

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