Search Results - data distribution ((((based algorithm) OR (control algorithm))) OR (sensor algorithm))
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1
Adaptive Algorithm for Optimal Route Configuration in Multi-Hop Wireless Sensor Network
Published 2017“…This paper proposes an optimal route configuration technique based on an adaptive genetic algorithm in which the architecture of multi-hop wireless sensor network is considered as a distributed computing infrastructure. …”
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2
Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks
Published 2019“…A Multi-Hop Selective Constructive Interference Flooding (MSCIF) protocol is proposed to address the problem of low connectivity in WSNs with a sparse distribution and improve the network’s lifetime. MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
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3
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…A data parallel algorithm (DPA-EHD) is designed and implemented for the EHD equations. …”
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4
Resourceful residual energy consumption in TDMA scheduling for IoT-based wireless sensor network
Published 2019“…This paper discusses the optimization of energy-topology (E-T) factors for distributed time division multiplexing algorithm (TDMA) slot scheduling for high-speed data link capacity. …”
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5
Scheduled activity energy-aware distributed cluster- based routing algorithm for wireless sensor networks with non-uniform node distribution
Published 2014“…The main and definitive target of routing protocols in Wireless Sensor Networks (WSN) is passing data from the sensor nodes to the sink in most energy efficient manner besides considering the accuracy of data. …”
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6
Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network
Published 2019“…A Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors which produces a measurable response to a change in a physical or chemical condition, e.g. temperature and ground composition. …”
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7
The comparison study among optimization techniques in optimizing a distribution system state estimation
Published 2017“…This thesis introduce an intelligent decentralized State Estimation method based on Firefly algorithm for distribution power systems. …”
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8
Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…This thesis presents three decentralized algorithms that are robust,scalable, and can be successfully executed in sensor networks. …”
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9
Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model
Published 2019“…Furthermore, the attacks are detected and prevented by utilizing secure node authentication, data fragmentation algorithms, fully homomorphic encryption, and access control model. …”
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10
An Improved Distributed Scheduling Algorithm for Wireless Sensor Networks
Published 2012“…In contrast to earlier traditional scheduling algorithms of medium access control (MAC), which are generally designed for sequential slot assignments, this paper presents an improved algorithm for distributed scheduling. …”
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11
A scheduled activity energy aware distributed clustering algorithm for wireless sensor networks with nonuniform node distribution
Published 2014“…Nonuniform node deployment makes the cluster-based routing protocol less efficient in wireless sensor networks (WSNs). …”
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12
High-throughput and energy-efficient Contiki MAC layer scheme in IEEE 802.15.4 for structural health monitoring
Published 2021“…Finally, a case study of a WSN-based SHM system using developed embedded data filtering and transmission algorithms to reduce data communication is performed and taken place on a concrete beam at Civil Engineering Structure Laboratory, UPM. …”
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13
A proactive energy awareness traffic routing for wireless sensor networks against energy sink-holes
Published 2019“…Next, the problem of large variations in energy consumptions with multiple sinks in merging tree-based multiple energy hole alleviation algorithm (MEHA-MT) is addressed. …”
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14
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…To enhance the selection of most highly ranking features, irrelevant features are ‘pruned’ based on determined boundary threshold. In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. …”
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15
Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi
Published 2014“…An efficient k-coverage algorithm for sensors with fixed sensing range (Maximum Layers Scheduling algorithm - MLS) is demonstrated. …”
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16
A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network
Published 2015“…On the first level, bankruptcy and shapely value algorithm fairly distribute the resources among smart grid applications. …”
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17
Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: a review paper
Published 2017“…More importantly, the review showed that theses algorithms did not take into account the security of the data gathered by the mobile agent. …”
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18
A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
Published 2017“…The MA-based approach employs two algorithms: Single-agent Itinerary Planning (SIP) and Multi-mobile agent Itinerary Planning (MIP) for energy-efficient data gathering. …”
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19
Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023“…To make the sensor more reliable, temperature data must be collected over the length of the cable, or distributed data rather than point data. …”
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Energy efficient geographical and power based clustering algorithm for heterogeneous wireless sensor networks
Published 2011“…Also, a large number of nodes are self-organized by a distributed cluster formation technique. Moreover, a randomized technique is used to rotate the local cluster-heads base on power label in order to evenly distribute the energy load among the sensors in the network. …”
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