Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
ESRT: event-to-sink reliable transport in wireless sensor networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
AIDA: Adaptive application-independent data aggregation in wireless sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
A Meta-Data-Based Data Aggregation Scheme in Clustering Wireless Sensor Networks
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Maximizing lifetime for data aggregation in wireless sensor networks
Mobile Networks and Applications
Spatial correlation-based collaborative medium access control in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Survey on performance analysis of embedded and conventional networks
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An adaptive scenario based reasoning system cross smart houses
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Energy-efficient query management scheme for a wireless sensor database system
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
An Adaptive Scenario-Based Reasoning System Across Smart Houses
Wireless Personal Communications: An International Journal
An optimized in-network aggregation scheme for data collection in periodic sensor networks
ADHOC-NOW'12 Proceedings of the 11th international conference on Ad-hoc, Mobile, and Wireless Networks
Crisis management using MAS-based wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Energy efficiency has been known as the most important issue in all facets of wireless sensor network (WSN) operations because of the limited and unrechargeable energy provision of sensor nodes. And WSN has emerged as an event-driven paradigm based on the collective effort of numerous sensing nodes. Data aggregation, eliminating data redundancy to improve the energy efficiency, is essential for WSNs. Moreover, due to dynamic topology and random deployment, incorporating adaptive behavior into protocols for WSNs is very important. Hence, we propose an adaptive data aggregation (ADA) scheme for clustered WSNs in this paper. In ADA scheme, the temporal aggregation degree controlled by the reporting frequency at sensor nodes and the spatial aggregation degree controlled by the aggregation ratio at cluster heads (CHs) are determined by the current scheme state according to the observed reliability. Furthermore, the function of the ADA scheme is mainly performed at sink node, with a little function at CHs and sensor nodes. Performance results show that the scheme state converges to the desired reliability starting from any initial state.