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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
References
Amagata, D., Hara, T.: Monitoring MaxRS in spatial data streams. In: EDBT, pp. 329–340 (2016)
Amagata, D., Sasaki, Y., Hara, T., Nishio, S.: CTR: an efficient cluster-based top-k query routing in MANETs. In: MoMM, pp. 225–234 (2014)
Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. Wirel. Commun. Mob. Comput. 2(5), 483–502 (2002)
Chen, Z., Liu, Y., Wong, R.C.W., Xiong, J., Cheng, X., Chen, P.: Rotating MaxRS queries. Inf. Sci. 305, 110–129 (2015)
Choi, D.W., Chung, C.W.: REQUEST+: a framework for efficient processing of region-based queries in sensor networks. Inf. Sci. 248, 151–167 (2013)
Choi, D.W., Chung, C.W., Tao, Y.: A scalable algorithm for maximizing range sum in spatial databases. PVLDB 5(11), 1088–1099 (2012)
Choi, D.W., Chung, C.W., Tao, Y.: Maximizing range sum in external memory. ACM TODS 39(3), 21:1–21:44 (2014)
Imai, H., Asano, T.: Finding the connected components and a maximum clique of an intersection graph of rectangles in the plane. J. Algorithms 4(4), 310–323 (1983)
Komai, Y., Sasaki, Y., Hara, T., Nishio, S.: kNN query processing methods in mobile ad hoc networks. IEEE TMC 13(5), 1090–1103 (2014)
Nandy, S.C., Bhattacharya, B.B.: A unified algorithm for finding maximum and minimum object enclosing rectangles and cuboids. Comput. Math. Appl. 29(8), 45–61 (1995)
Nghiem, T.P., Maulana, K., Nguyen, K., Green, D., Waluyo, A.B., Taniar, D.: Peer-to-peer bichromatic reverse nearest neighbours in mobile ad-hoc networks. J. Parallel Distrib. Comput. 74(11), 3128–3140 (2014)
Tao, Y., Hu, X., Choi, D.W., Chung, C.W.: Approximate MaxRS in spatial databases. PVLDB 6(13), 1546–1557 (2013)
Zhuang, Y., Chen, L.: Max regional aggregate over sensor networks. In: ICDE, pp. 1295–1298 (2009)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-44403-1_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44402-4
Online ISBN: 978-3-319-44403-1
eBook Packages: Computer ScienceComputer Science (R0)