Adaptive clustering in wireless sensor networks by mining sensor energy data
Computer Communications
Directional controlled fusion in wireless sensor networks
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
Secure data aggregation in wireless sensor networks: A comprehensive overview
Computer Networks: The International Journal of Computer and Telecommunications Networking
Directional Controlled Fusion in Wireless Sensor Networks
Mobile Networks and Applications
Lightweight object localization with a single camera in wireless multimedia sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Location based multi-queue scheduler in wireless sensor network
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Integrity protecting hierarchical concealed data aggregation for wireless sensor networks
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An autonomous intelligent gateway infrastructure for in-field processing in precision viticulture
Computers and Electronics in Agriculture
Market-based resource allocation for distributed data processing in wireless sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
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ACM Transactions on Sensor Networks (TOSN)
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Wireless Personal Communications: An International Journal
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With the increasing need for different energy saving mechanisms in Wireless Sensor Networks (WSNs), data aggregation techniques for reducing the number of data transmissions by eliminating redundant information have been studied as a significant research problem. These studies have shown that data aggregation in WSNs may produce various trade-offs among some network related performance metrics such as energy, latency, accuracy, fault-tolerance and security. In this paper, we investigate the impact of data aggregation on these networking metrics by surveying the existing data aggregation protocols in WSNs. Our aim is twofold: First, providing a comprehensive summary and comparison of the existing data aggregation techniques with respect to different networking metrics. Second, pointing out both the possible future research issues and the need for collaboration between data management and networking research communities working on data aggregation in WSNs. Copyright © 2006 John Wiley & Sons, Ltd.