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Evaluation of SMAP Core Validation Site Representativeness Errors using Dense Networks of in situ Sensors and Random Forests

Jane Whitcomb, Daniel Clewley, Andreas Colliander, Michael H. Cosh, Jarrett Powers, Matthew Friesen, Heather McNairn, Aaron A. Berg, David D. Bosch, Alisa Coffin, Chandra Holifield Collins, John H. Prueger (+2 others)
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In order to validate its  ...  Because of the latter, upscaled estimates derived from in situ sensor networks most closely represent the true mean soil moisture within a given SMAP grid if the sensors are dense and evenly-spaced [14  ...  sparse network of sensors as long as the latter still realizes sufficient spatial representativeness to achieve a diverse sampling of values for the different data layers.  ... 
doi:10.1109/jstars.2020.3033591 fatcat:4fh7avgvpratbd4pktpe4nd6z4

A New Energy-Efficient Cluster-Based Routing Protocol Using a Representative Path in Wireless Sensor Networks

Hyunjo Lee, Miyoung Jang, Jae-Woo Chang
2014 International Journal of Distributed Sensor Networks  
Based on a message success rate and a representative path, the sensor nodes are uniformly distributed in clusters so that the lifetime of network can be prolonged.  ...  , and the reliability of a sensor network.  ...  The representative path means a set of nodes, which have been selected from International Journal of Distributed Sensor Networks Figure 3 : Example of sensor network with node information.  ... 
doi:10.1155/2014/527928 fatcat:6qj5ofga6veptols2lmx5m5sla

Energy-saving models for wireless sensor networks

Daniele Apiletti, Elena Baralis, Tania Cerquitelli
2010 Knowledge and Information Systems  
The SeReNe framework SeReNe (Selecting Representatives in a sensor Network) is an environment for the identification of energy saving models to efficiently query sensor networks.  ...  Given clusters of correlated sensors, a subset of representative sensors is selected.  ...  Selection of sensor representatives This step consists in singling out a subset of representative sensors, denoted as R-Sensors, from a set of sensor clusters.  ... 
doi:10.1007/s10115-010-0328-6 fatcat:raqldhtqgvfqbl5vuvjlvrbmha

Genetic Algorithm for Optimizing the Routing in the Wireless Sensor Network

Navdeep Kaur, Deepiika Sharma
2013 International Journal of Computer Applications  
To perform routing in wireless sensor network with this limitation of low power, energy and storage capabilities is a major problem. Due to which the lifetime of the network decreases.  ...  All the nodes in the network have a limited transmission range and their processing, storage capabilities and energy resources are limited.  ...  All the sensor nodes in the network were randomly distributed and not mobile. Node clustering algorithm is use to form a cluster based network in the WSNs.  ... 
doi:10.5120/12257-8465 fatcat:srs7cm6d75dpxpfuv4kj6b6lse

Dynamic Clustering and Cluster Head Selection for Energy Optimization under Wireless Sensor Network

Ravinder Singh, Rajdavinder Singh Boparai
2018 International Journal of Advanced Research in Computer Science and Software Engineering  
Wireless sensor network is a field of networking that has been used for sensing information from environment. In WSN the sensor nodes are attached to a battery for sensing information.  ...  During the sensing information the nodes consumes energy and transmission energy is used to transmit a data over a distance. Idle energy is that when node is not working but remains in on state.  ...  Selection of cluster head and sub cluster head has been done on the basis of energy available to nodes in a network.  ... 
doi:10.23956/ijarcsse.v8i1.529 fatcat:p4x3hr3qjndqdg3wkj52v4r5sa

Refining Network Lifetime of Wireless Sensor Network Using Energy-Efficient Clustering and DRL-Based Sleep Scheduling

Ramadhani Sinde, Feroza Begum, Karoli Njau, Shubi Kaijage
2020 Sensors  
However, reducing the network delay and improving the network lifetime are always big issues in the domain of WSN.  ...  Duty cycling is adopted in the second phase by executing the DRL algorithm, from which, E2S-DRL reduces the energy consumption of individual sensor nodes effectually.  ...  [28] BAT It selects a cluster head and forms clusters in the sensor network. To select the optimal cluster head to reduce energy consumption. It consumes more time to select the cluster head.  ... 
doi:10.3390/s20051540 pmid:32164391 fatcat:n7al7kduvnfr3a56gdxkbi7pp4

Service-Oriented Node Scheduling Scheme for Wireless Sensor Networks Using Markov Random Field Model

Hongju Cheng, Zhihuang Su, Jaime Lloret, Guolong Chen
2014 Sensors  
The node scheduling strategy aims to increase network lifetime by selecting a set of sensor nodes to provide the required sensing services in a periodic manner.  ...  Thirdly, we propose a Multi-service Data Denoising (MDD) algorithm, a novel multi-service Representative node Selection and service Determination (RSD) algorithm, and a novel MRF-based Multi-service Node  ...  Sensors 2014, 14  ... 
doi:10.3390/s141120940 pmid:25384005 pmcid:PMC4279519 fatcat:rgnbdxtgmnhb5no7lmb63xjemy

Cluster based wireless sensor network for forests environmental monitoring

Ramadhani Sinde, Shubi Kaijage, Karoli Njau
2020 International Journal of Advanced Technology and Engineering Exploration  
load of each sensor node in the network.  ...  It is represented as ' 'follows: √ ( ) ( ) (3) Where, represents the position of sink node and ( ) represents the position of a sensor node.  ... 
doi:10.19101/ijatee.2019.650083 fatcat:x3s4alxkcval5er3gn5rilkubu

Lifetime Optimization Algorithm with Mobile Sink Nodes for Wireless Sensor Networks Based on Location Information

Yourong Chen, Zhangquan Wang, Tiaojuan Ren, Hexin Lv
2015 International Journal of Distributed Sensor Networks  
In order to overcome the energy hole problem in some wireless sensor networks (WSNs), lifetime optimization algorithm with mobile sink nodes for wireless sensor networks (LOA MSN) is proposed.  ...  Sink nodes gather data of sensor nodes along the calculated paths. Sensor nodes select father nodes and transmit data to corresponding sink node according to local information.  ...  mth sink node. represents a nonempty set of sensor nodes which are in the gathering range of mth sink node. ( ) represents the neighbor node set of node in .  ... 
doi:10.1155/2015/857673 fatcat:d2yht7f2zvdldjguuuuax4t424

Data-driven sensor placement with shallow decoder networks [article]

Jan Williams, Olivia Zahn, J. Nathan Kutz
2022 arXiv   pre-print
QR is a computationally efficient greedy search algorithm which selects sensor locations from candidate positions with maximal variance exhibited in a training data set.  ...  In this work, we develop two algorithms for optimizing sensor locations for use with SDNs: one which is a linear selection algorithm based upon QR (Q-SDN), and one which is a nonlinear selection algorithm  ...  ACKNOWLEDGEMENTS The authors are especially indebted to Benjamin Erichson, Lionel Mathelin, Steven Brunton and Michael Mahoney for discussions concerning decoder networks.  ... 
arXiv:2202.05330v1 fatcat:iifyp7zgrjdc3pc3uo3hywdqci

Active and dynamic information fusion for multisensor systems with dynamic bayesian networks

Yongmian Zhang, Qiang Ji
2006 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
To address these issues, we propose an information fusion framework based on dynamic Bayesian networks to provide active, dynamic, purposive and sufficing information fusion in order to arrive at a reliable  ...  Many information fusion applications are often characterized by a high degree of complexity because: 1) data are often acquired from sensors of different modalities and with different degrees of uncertainty  ...  With the hypothesis and sensors, we can construct a coherent fusion structure with a Bayesian network as shown in Fig. 3 .  ... 
doi:10.1109/tsmcb.2005.859081 pmid:16602605 fatcat:cml564wgzjeipiiigdmlydlffq

Strategy-efficient to extend the lifetime of wireless sensor network in framework of hybrid sensors and vehicular networks for road safety

TAHA BENSIRADJ, Samira Moussaoui
2019 IET Wireless Sensor Systems  
In general, a sensor node represents a small intelligent device which is equipped with different units.  ...  The collaboration created between the two networks is represented as a network called hybrid sensors and vehicular networks (HSVN) [6] [7] [8] . HSVN have been created to improve road safety.  ...  In [16] , the authors have proposed a CH-selection algorithm which is based on an optimal selection in terms of sensor energy.  ... 
doi:10.1049/iet-wss.2019.0056 fatcat:jf5cl7utxvgtlazgkzgjsb7vim

BN+BN: Behavior Network with Bayesian Network for Intelligent Agent [chapter]

Kyung-Joong Kim, Sung-Bae Cho
2003 Lecture Notes in Computer Science  
This paper proposes a method to improve behavior network, action selection mechanism that uses the graph of behaviors, goals and sensors with activation spreading, using goal inference mechanism of Bayesian  ...  Bayesian network represents the dependencies among variables with directed acyclic graph and infers posterior probability using prior knowledge.  ...  In (a,b), robot navigates the area with behavior sequence that is determined using the behavior network. The network selects one behavior at a time and executes it.  ... 
doi:10.1007/978-3-540-24581-0_84 fatcat:bj3n7bndbneaxlbagacg2hx4ui

Energy Aware Wireless Sensor Network Low Energy Consumption Full Network Coverage Algorithm

Luo Yonghua, Wu Jiawei, Qiu Shangming
2016 International Journal of Grid and Distributed Computing  
The simulation result shows that the proposed EACO algorithm is improved in the aspects of coverage rate and network lifetime.  ...  The energy aware based active node decision and the sensing directions thereof become the research hotspots of DNN (Directional Sensor Network).  ...  the size of the non-overlapping area covered by sensor node i in sector s , prev ch A represents the coverage area of sensor node i before being added in ch A , and prev ch A represents the coverage area  ... 
doi:10.14257/ijgdc.2016.9.7.08 fatcat:n3boacyndvb7tj37lzrqydnoce

Sensor location optimization and joint angle prediction in hand postures [article]

Nayan Bhatt, Varadhan SKM
2017 bioRxiv   pre-print
This method developed in this study focuses on obtaining a model with best subset selection of sensors for prediction of joint angles using various data-driven approach.  ...  In this study, we are trying to mount sensors on important anatomical locations and predict joint angles with a reduced set of sensors with relatively greater accuracy.  ...  This chapter proposed a systematic approach for selecting a set of sensors based on the user requirement and network performance.  ... 
doi:10.1101/157784 fatcat:mmx3qrr5drfz7mz5nqn72rjzsy
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