A Location Prediction Algorithm with Daily Routines in Location-Based Participatory Sensing Systems
Mobile node location predication is critical to efficient data acquisition and message forwarding in participatory sensing systems. This paper proposes a social-relationship-based mobile node location prediction algorithm using daily routines (SMLPR). The SMLPR algorithm models application scenarios...
Saved in:
| Main Authors: | Ruiyun Yu, Xingyou Xia, Shiyang Liao, Xingwei Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-10-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/481705 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LAPM: The Location Aware Prediction Model in Human Sensing Systems
by: Ruiyun Yu, et al.
Published: (2015-10-01) -
Reputation-Based Incentives for Data Dissemination in Mobile Participatory Sensing Networks
by: Jie Li, et al.
Published: (2015-12-01) -
Location prediction algorithm based on movement tendency
by: Wen LI, et al.
Published: (2014-02-01) -
Location, Location, Location: The Power of Neighborhoods for Apartment Price Predictions Based on Transaction Data
by: Christopher Kmen, et al.
Published: (2024-11-01) -
Dummy location selection algorithm based on location semantics and query probability
by: Jie WANG, et al.
Published: (2020-03-01)