Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks

Song, Seokil; Bok, Kyoungsoo; Kwak, Yun Sik; Goo, Bongeun; Kwak, Youngsik; Ko, Dae-Sik

doi:10.3390/s101110328

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…In some of existing DCSs such as DIM [ 3 ], KDDCS [ 4 ] and GDCS [ 7 ], similar data is stored in geographically adjacent sensor nodes. On these DCSs, data are ordered by their values.…”

Section: Introductionmentioning

confidence: 99%

Skyline Query Processing in Sensor Network Based on Data Centric Storage

Song

Kwak

Lee

2011

Sensors

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Data centric storages for sensor networks have been proposed to efficiently process multi-dimensional range queries as well as exact matches. Usually, a sensor network does not process only one type of the query, but processes various types of queries such as range queries, exact matches and skyline queries. Therefore, a sensor network based on a data centric storage for range queries and exact matches should process skyline queries efficiently. However, existing algorithms for skyline queries have not considered the features of data centric storages. Some of the data centric storages store similar data in sensor nodes that are placed on geographically similar locations. Consequently, all data are ordered in a sensor network. In this paper, we propose a new skyline query processing algorithm that exploits the above features of data centric storages.

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“…In some of existing DCSs such as DIM [ 3 ], KDDCS [ 4 ] and GDCS [ 7 ], similar data is stored in geographically adjacent sensor nodes. On these DCSs, data are ordered by their values.…”

Section: Introductionmentioning

confidence: 99%

Skyline Query Processing in Sensor Network Based on Data Centric Storage

Song

Kwak

Lee

2011

Sensors

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“…Many studies have been proposed techniques for energy efficient data processing, communication and storage. As a result, a dynamic balancing between these functions is necessary [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Indoor Monitoring Applications Using Fixed and Mobile Wireless Sensors

Strutu¹,

Popescu²

2011

IJC

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This paper proposes the idea of a wireless sensor network with applicability in monitoring systems. The goal of the project is to build a monitoring system capable of data gathering which can benefit from both characteristics of fixed and mobile nodes. To become flexible, the mobile node has a modular structure with four levels. The flexibility offered by the mobile nodes increases the performance of the entire data acquisition system. These act as autonomous devices that cooperatively monitor physical or environmental conditions. In order to implement the data acquisition and communication functions, the solution we agreed on has been to use the MTS400 sensor board. Mobile nodes communicate to a central node individual data and statistical indicators over a period. The proposed energy-aware architecture was tested and validated in an indoor experiment.

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“…The algorithm processes a query in three stages on the basis of four assumptions: (1) choice of DCS framework is limited to KDDCS [27], GDCS [28] and DIM [29]; (2) all nodes are identified by unique ID; (3) each node knows the geographic location of its own and its neighbor nodes; and (4) each node knows the range of data stored in its neighbor nodes. In the first stage, the base station locates the Start Node (SN) where the query is to commence.…”

Section: Of 22mentioning

confidence: 99%

Enhanced Distributed Dynamic Skyline Query for Wireless Sensor Networks

Ahmed

Nafi

Gregory

2016

JSAN

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Dynamic skyline query is one of the most popular and significant variants of skyline query in the field of multi-criteria decision-making. However, designing a distributed dynamic skyline query possesses greater challenge, especially for the distributed data centric storage within wireless sensor networks (WSNs). In this paper, a novel Enhanced Distributed Dynamic Skyline (EDDS) approach is proposed and implemented in Disk Based Data Centric Storage (DBDCS) architecture. DBDCS is an adaptation of magnetic disk storage platter consisting tracks and sectors. In DBDCS, the disc track and sector analogy is used to map data locations. A distance based indexing method is used for storing and querying multi-dimensional similar data. EDDS applies a threshold based hierarchical approach, which uses temporal correlation among sectors and sector segments to calculate a dynamic skyline. The efficiency and effectiveness of EDDS has been evaluated in terms of latency, energy consumption and accuracy through a simulation model developed in Castalia.

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Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks

Cited by 3 publications

References 15 publications

Skyline Query Processing in Sensor Network Based on Data Centric Storage

Skyline Query Processing in Sensor Network Based on Data Centric Storage

Indoor Monitoring Applications Using Fixed and Mobile Wireless Sensors

Enhanced Distributed Dynamic Skyline Query for Wireless Sensor Networks

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