Name
Abstract | ||
|---|---|---|
In this paper we introduce a novel scenario for environmental sensing based on the combination of simple and cheap RFID-based sensors and mobile devices like mobile phones with integrated RFID readers. We envision a system that exploits the availability of these devices to cooperatively read sensors installed in the environment, and transmit the data to a server infrastructure. To achieve quality requirements and efficiency in terms of communication cost and energy consumption, this paper presents several algorithms for coordinating update operations. First, mobile nodes form an ad-hoc network for the cooperative management of requested update times to meet the desired update interval and to avoid redundant sensor reading and collisions during read operations. Second, besides this decentralized coordination algorithm, we also show a complementary algorithm that exploits infrastructure based coordination. By extensive simulations we show that our algorithms allow for autonomous operation and achieve a high quality of sensor updates where nearly 100% of the possible updates are performed. Moreover, the algorithms achieve a very high energy efficiency allowing for several hundred hours of operation assuming a typical battery of a mobile phone. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/MDM.2009.15 | Mobile Data Management |
Keywords | Field | DocType |
complementary algorithm,environmental data,decentralized coordination algorithm,efficient capturing,requested update time,mobile rfid readers,mobile node,update interval,cheap rfid-based sensor,mobile device,autonomous operation,mobile phone,update operation,ad hoc networks,ad hoc network,rfid,mobile devices,mobile communication,sensors,servers,energy efficiency | Mobile radio,Mobile RFID,Computer science,Efficient energy use,Server,Computer network,Mobile device,Mobile phone,Energy consumption,Mobile telephony | Conference |
Citations | PageRank | References |
7 | 0.71 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harald Weinschrott | 1 | 79 | 5.23 |
| Frank Dürr | 2 | 500 | 43.83 |
| Kurt Rothermel | 3 | 2806 | 450.84 |