Name
Abstract | ||
|---|---|---|
This paper introduces mechanisms for the automated detection of mobile objects in urban areas. Widely available devices such as mobile phones with integrated proximity sensors such as RFID readers or Bluetooth cooperatively perform sensing operations to discover mobile objects. In this paper, we propose a coverage metric for assessing the completeness of sensing that considers spatial and temporal aspects. To maximize coverage while minimizing energy consumption of mobile nodes, we propose both a centralized and a distributed coordination algorithm for selecting nodes that need to sense. Moreover, we present strategies that allow selected nodes to perform efficient sense operations. By extensive simulations, we show that distributed coordination achieves drastic energy savings of up to 63%, while limiting the coverage loss to 13%. Moreover, we show that the centralized algorithm loses less than 1% coverage compared to the maximum possible coverage. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/PERCOM.2011.5767577 | PerCom |
Keywords | Field | DocType |
coordination algorithm,efficient sense operation,centralized algorithm,mobile node,energy consumption,urban area,coverage loss,mobile phone,drastic energy saving,mobile object discovery,maximum possible coverage,mobile object,mobile communication,mobile computing,trajectory,measurement,mobile computer,proximity sensors,sensors,servers,bluetooth | Mobile computing,Proximity sensor,Computer science,Server,Computer network,Algorithm,Energy consumption,Participatory sensing,Bluetooth,Trajectory,Mobile telephony,Distributed computing | Conference |
ISSN | Citations | PageRank |
2474-2503 | 12 | 0.74 |
References | Authors | |
18 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harald Weinschrott | 1 | 79 | 5.23 |
| Julian Weisser | 2 | 12 | 0.74 |
| Frank Dürr | 3 | 500 | 43.83 |
| Kurt Rothermel | 4 | 2806 | 450.84 |