Browsing by Subject "Top-k query processing"

Now showing items 1-7 of 7

    • Article  

      Crowdsourced trace similarity with smartphones 

      Zeinalipour-Yazdi, Constantinos D.; Laoudias, Christos; Costa, Constantinos; Vlachos, Michail; Andreou, Maria I.; Gunopulos, Dimitrios (2013)
      Smartphones are nowadays equipped with a number of sensors, such as WiFi, GPS, accelerometers, etc. This capability allows smartphone users to easily engage in crowdsourced computing services, which contribute to the ...
    • Conference Object  

      Disclosure-free GPS trace search in smartphone networks 

      Zeinalipour-Yazdi, Constantinos D.; Laoudias, Christos; Andreou, Maria I.; Gunopulos, Dimitrios (2011)
      In this paper we present a powerful distributed framework for finding similar trajectories in a smart phone network, without disclosing the traces of participating users. Our framework, coined Smart Trace, exploits ...
    • Conference Object  

      MINT views: Materialized In-Network Top-k views in sensor networks 

      Zeinalipour-Yazdi, Constantinos D.; Andreou, Panayiotis G.; Chrysanthis, Panos K.; Samaras, George S. (2007)
      In this paper we introduce MINT (Materialized In-Network Top-k) Views, a novel framework for optimizing the execution of continuous monitoring queries in sensor networks. A typical materialized view V maintains the complete ...
    • Article  

      A network-aware framework for energy-efficient data acquisition in wireless sensor networks 

      Andreou, Panayiotis G.; Zeinalipour-Yazdi, Constantinos D.; Samaras, George S.; Chrysanthis, Panos K. (2014)
      Wireless sensor networks enable users to monitor the physical world at an extremely high fidelity. In order to collect the data generated by these tiny-scale devices, the data management community has proposed the utilization ...
    • Article  

      Power efficiency through tuple ranking in wireless sensor network monitoring 

      Andreou, Panayiotis G.; Zeinalipour-Yazdi, Constantinos D.; Chrysanthis, Panos K.; Samaras, George S. (2011)
      In this paper, we present an innovative framework for efficiently monitoring Wireless Sensor Networks (WSNs). Our framework, coined KSpot, utilizes a novel top-k query processing algorithm we developed, in conjunction with ...
    • Conference Object  

      SmartTrace: Finding similar trajectories in smartphone networks without disclosing the traces 

      Costa, Constantinos; Laoudias, Christos; Zeinalipour-Yazdi, Constantinos D.; Gunopulos, Dimitrios (2011)
      In this demonstration paper, we present a powerful distributed framework for finding similar trajectories in a smartphone network, without disclosing the traces of participating users. Our framework, exploits opportunistic ...
    • Conference Object  

      The threshold join algorithm for top-k queries in distributed sensor networks 

      Zeinalipour-Yazdi, Constantinos D.; Vagena, Zografoula; Gunopulos, Dimitrios; Kalogeraki, Vana; Tsotras, Vassilis J.; Vlachos, Michail; Koudas, Nick; Srivastava, D. (2005)
      In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query is to find the k highest ranked answers ...