2,818 Hits in 4.3 sec

Efficient Aggregate Computations in Large-Scale Dense WSN

Nuno Pereira, Ricardo Gomes, Björn Andersson, Eduardo Tovar
2009 2009 15th IEEE Real-Time and Embedded Technology and Applications Symposium  
We focus on large-scale and dense deeply embedded systemswhere, due to the large amount of information generatedby all nodes, even simple aggregate computations suchas the minimum value (MIN) of the sensor  ...  Abstract We focus on large-scale and dense deeply embedded systems where, due to the large amount of information generated by all nodes, even simple aggregate computations such as the minimum value (MIN  ...  And hence large, dense networks in a single broadcast domain will not be able to perform aggregated quantities quickly with those approaches.  ... 
doi:10.1109/rtas.2009.22 dblp:conf/rtas/PereiraGAT09 fatcat:dttg6v742vbzth3jjq7pxf34em

Wireless Sensor Networks for Big Data Systems

Beom-Su Kim, Ki-Il Kim, Babar Shah, Francis Chow, Kyong Kim
2019 Sensors  
Among many feasible data sources, wireless sensor networks (WSNs) are rich big data sources: a large amount of data is generated by various sensor nodes in large-scale networks.  ...  Moreover, a considerable amount of sensed data are of no interest, meaningless, and redundant when a large number of sensor nodes is densely deployed.  ...  They include: (1) distributed compressive data aggregation in large-scale WSN; (2) sensor data aggregation in a multi-layer big data framework; (3) lifting wavelet compression based data aggregation in  ... 
doi:10.3390/s19071565 fatcat:punchof2rjbbva3s6ngil6dd6i

SelectCast: Scalable Data Aggregation Scheme in Wireless Sensor Networks

Cheng Wang, Changjun Jiang, Shaojie Tang, Xiang-Yang Li
2012 IEEE Transactions on Parallel and Distributed Systems  
In this work, for a wireless sensor network (WSN) of n randomly placed sensors with node density 2 ½1; n, we study the tradeoffs between the aggregation throughput and gathering efficiency.  ...  Specifically, we design two efficient aggregation schemes, called single-hop-length (SHL) scheme and multiple-hop-length (MHL) scheme.  ...  Next, we prove Theorem 1 in two cases, i.e., random dense scaling WSN and random extended scaling WSN (RES-WSN).  ... 
doi:10.1109/tpds.2011.312 fatcat:2cvvfik5l5cxhafsv47clpi2hq

EMMON: A WSN System Architecture for Large Scale and Dense Real-Time Embedded Monitoring

Stefano Tennina, Melanie Bouroche, Pedro Braga, Ricardo Gomes, Mario Alves, Farrukh Mirza, Vincenzo Ciriello, Gabriella Carrozza, Pedro Oliveira, Vinny Cahill
2011 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing  
In this paper, we outline the EMMON system architecture for large-scale, dense, real-time embedded monitoring.  ...  Wireless sensor networks (WSNs) have attracted growing interest in the last decade as an infrastructure to support a diversity of ubiquitous computing and cyber-physical systems.  ...  that achieves efficiency in large scale and dense WSNs.  ... 
doi:10.1109/euc.2011.32 dblp:conf/euc/TenninaBBGAMCCOC11 fatcat:jdkw465o25ejnjxty4vkf7kbf4

MELEACH-L: More Energy-Efficient LEACH for Large-Scale WSNs

Jing Chen, Hong Shen
2008 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing  
According to our analysis and simulations, these two techniques solve the problems satisfactorily efficiently, making MELEACH-L an applicable version of MELEACH for large-scale WSNs.  ...  MELEACH-L proposed in this paper as an expanded version of MELEACH [1] makes the major functions of MELEACH applicable to large-scale WSNs whose dimension is much larger than the largest transmission radius  ...  Our analysis and simulations have shown the validity of the two techniques for large-scale WSNs and the energy-efficiency of MELEACH-L.  ... 
doi:10.1109/wicom.2008.915 fatcat:gyvaoku5kvhhfjt6tfvsx4d2ci

Scalable privacy-preserving big data aggregation mechanism

Dapeng Wu, Boran Yang, Ruyan Wang
2016 Digital Communications and Networks  
Targeting the privacy requirements of large-scale WSNs and focusing on the energy-efficient collection of big sensor data, a Scalable Privacy-preserving Big Data Aggregation (Sca-PBDA) method is proposed  ...  Simulation results validate the efficacy and scalability of Sca-PBDA and show that the big sensor data generated by large-scale WSNs is efficiently aggregated to reduce network resource consumption and  ...  Once again, the communication overhead of large-scale WSNs is much larger than their computation overhead.  ... 
doi:10.1016/j.dcan.2016.07.001 fatcat:kwb7ob6u2rb75j55vswngqfucu

Data Aggregation Techniques in WSN:Survey

Geetika Dhand, S.S. Tyagi
2016 Procedia Computer Science  
Different data aggregation techniques require varying amounts of energy to process raw data.  ...  As various sensor nodes often detect common phenomena, there will be some redundancy in the data.  ...  large scenarios. ix) MLEACH-L (More energy efficient LEACH): MLEACH for Large-scale WSN protocol deciphers two issues of WSN i.e. channel assignment between neighbors within the same cluster, and the  ... 
doi:10.1016/j.procs.2016.07.393 fatcat:jxwjsdgkvjfsbda5fp4e66vg3y

Subdividing Hexagon-Clustered Wireless Sensor Networks for Power-Efficiency

Dajin Wang, Li Xu, Jing Peng, Stefan Robila
2009 2009 WRI International Conference on Communications and Mobile Computing  
In this paper, we propose a novel scheme for subdividing a hexagonal cluster where sensors are densely populated and distributed uniformly throughout the cluster.  ...  We also perform subdivisions at various scales, and analyze the corresponding power saving patterns.  ...  The WSN comprises a large number of low power, low cost sensors, deployed in a large physical environment. The distribution of the sensors is uniform.  ... 
doi:10.1109/cmc.2009.317 fatcat:acsvftv5snghxdjxpcxsl25ws4

A Comprehensive Survey of Data Processing Approaches

Shivangi Katiyar, Devendra Prasad
2015 International Journal of Computer Applications  
The past records shows that in early stages WSNs architecture was based on static nodes of densely deployed sensing areas and after that authors have also proposed WSNs architecture based on mobility with  ...  In WSNs, the most responsible factor behind energy consumption of the sensor nodes is Data Processing which mainly involves data sensing, data aggregation and dissemination.  ...  Application-For Large scale WSNs, it is best suitable. Belonging Schemes-LEACH [8] , PEGASIS [9] etc.  ... 
doi:10.5120/ijca2015906226 fatcat:xmu2fszn5be65bjr4al5ncqnsu

Reliable Relay Node Placement in Large Scale Dense and Non-uniform Wireless Sensor Network

Vivekanand Jha, Neeharika Taneja, Harshpreet Kaur, Elisha Chauhan
2014 International Journal of Computer Applications  
In the proposed work , assuming the WSN to be large scale and non uniform an algorithm is proposed which includes-selection of cluster head from dominating set node,creation of clusters with one and only  ...  A Wireless sensor network(WSN) is composed of a large number of sensor nodes, which are densely deployed either inside the phenomenon or very close to it.  ...  We have proposed a fine strategy for relay node placement in large scale, dense, non uniform sensor network.  ... 
doi:10.5120/15101-2720 fatcat:harbp6psuzephm6tek5kt554dm

Compression in wireless sensor networks

M. A. Razzaque, Chris Bleakley, Simon Dobson
2013 ACM transactions on sensor networks  
In this article, we take a step in that direction by presenting a survey of the literature in the area of compression and compression frameworks in WSNs.  ...  Recently, there have been a large number of proposals describing compression algorithms for WSNs. These proposals are diverse and involve different compression approaches.  ...  large-scale WSNs.  ... 
doi:10.1145/2528948 fatcat:priodvou25c3locplk3is4al4m

Mobile Agent Initiated Energy Efficient Data Aggregation in WSNs: MAEDA

Shivangi Katiyar, Devendra Prasad
2016 International Journal of Computer Applications  
There are many possible ways to conserve energy in WSNs; data aggregation is one of them.  ...  This paper proposes Mobile Agent initiated Energy efficient Data Aggregation (MAEDA) approach to prolong network lifetime.  ...  In [16] author proposes an energy-efficient in-Network data aggregation approach for WSNs. Here authors use the advantages of both cluster and tree.  ... 
doi:10.5120/ijca2016909170 fatcat:6n5zikcg2bdb3fk5ldk3jsouzm

Implementation of multi-hop routing protocols for the dramatic range enhancement of wireless sensor networks

V. Lakafosis, M.M. Tentzeris
2008 2008 IEEE Antennas and Propagation Society International Symposium  
The need for emergence of efficient protocols, especially those related to network layer, is stressed.  ...  In this paper, both general and routing-specific constraints and requirements that have to be satisfied during the design of wireless sensor networks are presented.  ...  Specifically, since a generally large number of sensor nodes are densely deployed in WSN fields, multi-hop communication is exploited in the interconnection between nodes.  ... 
doi:10.1109/aps.2008.4619044 fatcat:jgpapzhukbh5xh263owrwhvjxm

HEAP: Hybrid Energy-efficient Aggregation Protocol for Large Scale Wireless Sensor Networks

Santhosh Simon, K Paulose Jacob
In this paper we propose a scheme for large scale WSNs which effectively uses the spatial correlation and temporal correlation of the data for effective aggregation and thereby preserving precious energy  ...  Many aggregation systems are available, but when employed for large scale wireless sensor networks they are less effective.  ...  Lut ful karim et al [9] proposes an efficient data aggregation scheme for large scale WSNs that considers the tradeoff between energy efficiency and end-to-end delay.  ... 
doi:10.24297/ijct.v4i2c2.4186 fatcat:bfc2ypv4dze4bdrp6zsysv525y

Energy Efficient Clustering Techniques for Wireless Sensor Networks-A Review

Suman Pandey
2017 International Journal of Scientific Research and Management  
The applications of Wireless Sensor Networks (WSNs) are growing at rapid pace and providing pervasive computing environments.  ...  Clustering is an efficient technique to group the sensor nodes of entire network into number of clusters to support high scalability and provide better data aggregation by efficient utilization of limited  ...  As a result, the multi-hop clustering model is appropriate for large-scale WSNs.  ... 
doi:10.18535/ijsrm/v5i6.17 fatcat:lnvbw2tjjzfibe55xi5t5x7a5y
« Previous Showing results 1 — 15 out of 2,818 results