Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks

Rosemark, R.; Lee, Wang-Chien; Urgaonkar, Bhuvan

doi:10.1109/mdm.2007.13

Cited by 11 publications

(6 citation statements)

References 26 publications

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“…In [45], sensing and routing data and metadata collection are incorporated into a query optimizer in order to find the best query execution plan with the least energy costs. However, optimization is done for a single query at a time and does not take into account the dynamicity of the network.…”

Section: Analysis Of Iot Data Managements Proposals Against Design Prmentioning

confidence: 99%

“…Query optimization that involves choosing the best query plans based on their respective power costs are explored for WSNs in [ 45 ] and database servers in [ 46 ]. In [ 45 ], sensing and routing data and metadata collection are incorporated into a query optimizer in order to find the best query execution plan with the least energy costs. However, optimization is done for a single query at a time and does not take into account the dynamicity of the network.…”

Section: Analysis Of Iot Data Managements Proposals Against Design Prmentioning

confidence: 99%

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Data Management for the Internet of Things: Design Primitives and Solution

Abu-Elkheir

Hayajneh

Ali

2013

Sensors

176

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The Internet of Things (IoT) is a networking paradigm where interconnected, smart objects continuously generate data and transmit it over the Internet. Much of the IoT initiatives are geared towards manufacturing low-cost and energy-efficient hardware for these objects, as well as the communication technologies that provide objects interconnectivity. However, the solutions to manage and utilize the massive volume of data produced by these objects are yet to mature. Traditional database management solutions fall short in satisfying the sophisticated application needs of an IoT network that has a truly global-scale. Current solutions for IoT data management address partial aspects of the IoT environment with special focus on sensor networks. In this paper, we survey the data management solutions that are proposed for IoT or subsystems of the IoT. We highlight the distinctive design primitives that we believe should be addressed in an IoT data management solution, and discuss how they are approached by the proposed solutions. We finally propose a data management framework for IoT that takes into consideration the discussed design elements and acts as a seed to a comprehensive IoT data management solution. The framework we propose adapts a federated, data- and sources-centric approach to link the diverse Things with their abundance of data to the potential applications and services that are envisioned for IoT.

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Section: Analysis Of Iot Data Managements Proposals Against Design Prmentioning

confidence: 99%

Section: Analysis Of Iot Data Managements Proposals Against Design Prmentioning

confidence: 99%

Data Management for the Internet of Things: Design Primitives and Solution

Abu-Elkheir

Hayajneh

Ali

2013

Sensors

176

View full text Add to dashboard Cite

show abstract

“…Query optimization that involves choosing the best query plans based on their respective power costs are explored for WSNs in [10] and database servers in [11]. In [10], sensing and routing, data and metadata collection are incorporated into a query optimizer in order to find the best query execution plan with the least energy costs.…”

Section: Current Proposalsmentioning

confidence: 99%

“…In [10], sensing and routing, data and metadata collection are incorporated into a query optimizer in order to find the best query execution plan with the least energy costs. In [11], basic database operations such as read/write and join operations are assigned power profiles, and a query plan is assigned a power cost as a function of the operations used to execute that query plan.…”

Section: Current Proposalsmentioning

confidence: 99%

Data management for the Internet of Things: Green directions

Ali

Abu-Elkheir

2012

2012 IEEE Globecom Workshops

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The technology pertaining to connecting objects together in the Internet of Things is already the focus of intensive research efforts. However, the mechanisms managing and utilizing the resulting significant volume of data from these objects has yet to match the maturity of the technology itself. The traditional approach of migrating raw data to centralized points for data storage and analysis may incur debilitating communication and energy costs, which will negatively affect the environment in the future. In this paper, we will discuss the life cycle of data within the Internet of Things and survey the current research in the data management field for the In 1 ternet of Things. The discussion will focus on the research pertaining to the optimization of communication overhead and storage mechanisms as they have the most significant impact on energy consumption. We prove the need for further analysis and addressing of issues concerning "green" data management systems designs for the Internet of Things.

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“…Queries are received at the base station and forwarded to the sensor network. Sensor network collect, filter, aggregate and send the response back to the server [1]. This is called centralized or warehouse approach to query processing.…”

Section: Inter-wsn Partitioningmentioning

confidence: 99%

Metadata Challenge for Query Processing Over Heterogeneous Wireless Sensor Network

Komalavalli¹,

Laroiya²

2011

IJWMN

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Wireless sensor networks become integral part of our life. These networks can be used for monitoring the data in various domain due to their flexibility and functionality. Query processing and optimization in the WSN is a very challenging task because of their energy and memory constraint. In this paper, first our focus is to review the different approaches that have significant impacts on the development of

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Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks

Cited by 11 publications

References 26 publications

Data Management for the Internet of Things: Design Primitives and Solution

Data Management for the Internet of Things: Design Primitives and Solution

Data management for the Internet of Things: Green directions

Metadata Challenge for Query Processing Over Heterogeneous Wireless Sensor Network

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