Keyword(s):k-MaxRS, Maximizing Range Sum, Distributed Query Processing, Wireless Sensor Networks

Related
Ontology
Subjects/Areas/Topics:Aggregation, Classification and Tracking
;
Applications and Uses
;
Data Manipulation
;
Energy Efficiency
;
Energy Efficiency and Green Manufacturing
;
Environment Monitoring
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Obstacles
;
Sensor Networks

Abstract: We address the problem of in-network processing of k-Maximizing Range Sum (k-MaxRS) queries in Wireless Sensor Networks (WSN). The traditional, Computational Geometry version of the MaxRS problem considers the setting in which, given a set of (possibly weighted) 2D points, the goal is to determine the optimal location for a given (axes-parallel) rectangle R to be placed so that the sum of the weights (or, a simple count) of the input points in R’s interior is maximized. In WSN, this corresponds to finding the location of region R such that the sum of the sensors’ readings inside R is maximized. The k-MaxRS problem deals with maximizing the overall sum over k such rectangular regions. Since centralized processing – i.e., transmitting the raw readings and subsequently determining the k-MaxRS in a dedicated sink – incur communication overheads, we devised an efficient distributed algorithm for in-network computation of k-MaxRS. Our experimental observations show that the novel algorithm provides significant energy/communication savings when compared to the centralized approach.(More)

We address the problem of in-network processing of k-Maximizing Range Sum (k-MaxRS) queries in Wireless Sensor Networks (WSN). The traditional, Computational Geometry version of the MaxRS problem considers the setting in which, given a set of (possibly weighted) 2D points, the goal is to determine the optimal location for a given (axes-parallel) rectangle R to be placed so that the sum of the weights (or, a simple count) of the input points in R’s interior is maximized. In WSN, this corresponds to finding the location of region R such that the sum of the sensors’ readings inside R is maximized. The k-MaxRS problem deals with maximizing the overall sum over k such rectangular regions. Since centralized processing – i.e., transmitting the raw readings and subsequently determining the k-MaxRS in a dedicated sink – incur communication overheads, we devised an efficient distributed algorithm for in-network computation of k-MaxRS. Our experimental observations show that the novel algorithm provides significant energy/communication savings when compared to the centralized approach.

*Limit of Downloads ExceededJoin INSTICC now to download more papers for free and get access to over
full text papers.
Read about more benefits
or
Join INSTICC.
.

Guests can use SCITEPRESS Digital Library without having a SCITEPRESS account. However, guests have limited access to downloading full text versions of papers and no access to special options.

Guests can use SCITEPRESS Digital Library without having a SCITEPRESS account. However, guests have limited access to downloading full text versions of papers and no access to special options.

You are not signed in, therefore limits apply to your IP address 54.146.59.207. INSTICC members have higher download limits
(free membership now)
In the current month:

Wonge-ammat P., Mas-ud Hussain M., Trajcevski G., Avci B. and Khokhar A. (2017). Distributed In-Network Processing of k-MaxRS in Wireless Sensor Networks.In Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-211-0, pages 108-117. DOI: 10.5220/0006210701080117

@conference{sensornets17, author={Panitan Wonge-ammat and Muhammed Mas-ud Hussain and Goce Trajcevski and Besim Avci and Ashfaq Khokhar}, title={Distributed In-Network Processing of k-MaxRS in Wireless Sensor Networks}, booktitle={Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,}, year={2017}, pages={108-117}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0006210701080117}, isbn={978-989-758-211-0}, }

TY - CONF

JO - Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS, TI - Distributed In-Network Processing of k-MaxRS in Wireless Sensor Networks SN - 978-989-758-211-0 AU - Wonge-ammat P. AU - Mas-ud Hussain M. AU - Trajcevski G. AU - Avci B. AU - Khokhar A. PY - 2017 SP - 108 EP - 117 DO - 10.5220/0006210701080117