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An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks

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Book cover Database and Expert Systems Applications (DEXA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9827))

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Abstract

In this paper, we address the problem of MaxRS (Maximizing Range Sum) query processing in mobile ad hoc networks (MANETs). We assume a MANET consisting of nodes which hold data items with scores and location information. A query originating node issues a MaxRS query with a size of a rectangle. Then, it retrieves the location of the rectangle which maximizes the sum of the scores of all data items covered by the rectangle (MaxRS location). We can employ MaxRS queries to enhance rescue operations in disaster sites, which is a typical example of MANETs. In this example, we can find a dense location where many victims exist in a disaster site. In a naive approach to processing MaxRS queries, each node forwards its entire dataset to the query originating node, and this node locally computes the result. This approach is inefficient because the network bandwidth is limited in MANETs. We therefore propose a communication-efficient method which retrieves the MaxRS location in two phases. Phase 1 plays the important role of pruning data items not necessary to identify the MaxRS location, and enables the retrieval of only necessary data items in phase 2. Simulation experiments demonstrate the efficiency of our approach.

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Acknowledgement

This research is partially supported by the Grant-in-Aid for Scientific Research (A) (26240013) of the Ministry of Education, Culture, Sports, Science and Technology, Japan, and JST, Strategic International Collaborative Research Program, SICORP.

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Correspondence to Yuki Nakayama .

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Nakayama, Y., Amagata, D., Hara, T. (2016). An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks. In: Hartmann, S., Ma, H. (eds) Database and Expert Systems Applications. DEXA 2016. Lecture Notes in Computer Science(), vol 9827. Springer, Cham. https://doi.org/10.1007/978-3-319-44403-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-44403-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44402-4

  • Online ISBN: 978-3-319-44403-1

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