Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
An approach to discovering temporal association rules
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Habitat monitoring: application driver for wireless communications technology
SIGCOMM LA '01 Workshop on Data communication in Latin America and the Caribbean
A transmission control scheme for media access in sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Discovering calendar-based temporal association rules
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
WhatNext: A Prediction System for Web Requests using N-gram Sequence Models
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
Multi-user Driven Path Prediction Algorithm for Mobile Computing
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Exploring group mobility for replica data allocation in a mobile environment
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Understanding the semantics of sensor data
ACM SIGMOD Record
Efficient data mining for calling path patterns in GSM networks
Information Systems
Replica allocation for correlated data items in ad hoc sensor networks
ACM SIGMOD Record
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction
Data Mining and Knowledge Discovery
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
A data mining approach for location prediction in mobile environments
Data & Knowledge Engineering
Mining Temporal Moving Patterns in Object Tracking Sensor Networks
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Efficient In-Network Moving Object Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Efficient mining and prediction of user behavior patterns in mobile web systems
Information and Software Technology
Mining multilevel and location-aware service patterns in mobile web environments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
CollECT: Collaborative event detection and tracking in wireless heterogeneous sensor networks
Computer Communications
Journal of Systems and Software
An efficient location tracking structure for wireless sensor networks
Computer Communications
Expert Systems with Applications: An International Journal
Dynamic object tracking tree in wireless sensor network
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
International Journal of Ad Hoc and Ubiquitous Computing
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In recent years, a number of studies have been done on object tracking sensor networks (OTSNs) due to the wide applications. One important research issue in OTSNs is the energy saving strategy in considering the limited power of sensor nodes. The past studies on energy saving in OTSNs considered the object's movement behavior as randomness. In some real applications, however, the object movement behavior is often based on certain underlying events instead of randomness completely. In this paper, we propose a novel data mining algorithm named TMP-Mine with a special data structure named TMP-Tree for efficiently discovering the temporal movement patterns of objects in sensor networks. To our best knowledge, this is the first work on mining the movement patterns associated with time intervals in OTSNs. Moreover, we propose novel location prediction strategies that utilize the discovered temporal movement patterns so as to reduce the prediction errors for energy savings. Through empirical evaluation on various simulation conditions and real dataset, TMP-Mine and the proposed prediction strategies are shown to deliver excellent performance in terms of scalability, accuracy and energy efficiency.