Abstract | ||
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A continuous k nearest neighbor (cKNN) query is a query that continuously returns a set of k nearest moving objects (mobile hosts) to a given query point. For example, report three nearest moving sensors to a given location continuously. Most existing research efforts focus on centralized solutions. In a mobile peer-to-peer network (M-P2P), a centralized approach incurs expensive communication cost. In this paper, we propose Safe-Time - a distributed solution for cKNN given a stationary query point for M-P2P. The two key features are as follows. 1) Actual execution of a cKNN query is not needed during a safe-time period since the query result is guaranteed to remain the same during this period. 2) Once the safe-time expires, execution of a cKNN query involves only objects in a circular band of width equal to the estimated distance between the kth and the k + 1th nearest neighbors. To further reduce communication cost for dense queries, we introduce Unite-Safe-Time that executes one virtual query derived from nearby queries instead of executing each of them separately. Our simulation result shows that the proposed distributed solutions outperform a centralized solution under a range of conditions. Safe-Time incurs up to 2/3 less communication cost compared to a centralized solution. Unite-Safe-Time shows up to 1/3 less communication cost than Safe-Time in our study. |
Year | DOI | Venue |
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2008 | 10.1109/MDM.2008.18 | MDM |
Keywords | Field | DocType |
nearby query,cknn query,distributed real-time monitoring,centralized approach,m-p2p,safe-time,stationary query point,mobile hosts,k nearest moving objects,distributed solution,query point,virtual query,dense query,continuous k nearest neighbor,safe-time period,peer-to-peer computing,centralized solution,query result,cmmunication cost,mobile computing,circular band,real-time monitoring,mobile peer-to-peer networks,query processing,security of data,unite-safe-time,indexes,mobile communication,k nearest neighbor,artificial neural networks,nearest neighbor,base stations,p2p,wireless communication | k-nearest neighbors algorithm,Query optimization,Mobile computing,Base station,Peer-to-peer,Computer science,Sargable,Computer network,Artificial neural network,Mobile telephony,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-3154-0 | 5 | 0.40 |
References | Authors | |
16 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kihwan Kim | 1 | 409 | 28.22 |
Ying Cai | 2 | 933 | 60.43 |
Wallapak Tavanapong | 3 | 535 | 63.27 |