Wireless integrated network sensors
Communications of the ACM
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
AIDA: Adaptive application-independent data aggregation in wireless sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Proceedings of the 3rd international conference on Embedded networked sensor systems
Data collection, storage, and retrieval with an underwater sensor network
Proceedings of the 3rd international conference on Embedded networked sensor systems
Lightweight detection and classification for wireless sensor networks in realistic environments
Proceedings of the 3rd international conference on Embedded networked sensor systems
Efficient aggregation of delay-constrained data in wireless sensor networks
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Cross-layer design for wireless networks
IEEE Communications Magazine
Cross-layer design: a survey and the road ahead
IEEE Communications Magazine
QoS-aware MAC protocols for wireless sensor networks: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Compression in wireless sensor networks: A survey and comparative evaluation
ACM Transactions on Sensor Networks (TOSN)
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Data aggregation has been one of important key techniques to increase energy efficiency and bandwidth utilization in wireless sensor networks. There were many research works in this area, but most of them have a disadvantage that cannot optimally meet practical requirements, such as the heterogeneity of application data and latency requirements. In this paper, we propose a novel and simple data aggregation protocol, referred to as Lump, which enables to support QoS requirements of applications. For this purpose, it prioritizes packets for differentiated services and facilitates aggregation decision. Its architecture has a cross-layered design that mitigates overheads of in-network processing, and it is completely an independent module residing on between data-link layer and network layer so that it can be applicable to a variety of applications. Our experiments show that, when an intermediate node has four neighbors, Lump can reduce radio traffic up to 30% while satisfying QoS requirements.