An energy-efficient protocol for data gathering and aggregation in wireless sensor networks
The Journal of Supercomputing
Weakly connected dominating set-based secure clustering and operation in distributed sensor networks
International Journal of Communication Networks and Distributed Systems
EDARP: novel energy and distance-aware routing protocol in wireless sensor network
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
DoS detection in cluster-based sensor networks
CNIS '07 Proceedings of the Fourth IASTED International Conference on Communication, Network and Information Security
Event-to-sink directed clustering in wireless sensor networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Data filtering and dynamic sensing for continuous monitoring in wireless sensor networks
International Journal of Autonomous and Adaptive Communications Systems
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
Secure clustering in DSN with key pre-distribution and WCDS
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
A key-predistribution-based weakly connected dominating set for secure clustering in DSN
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
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Sensor Networks have recently emerged as an important computing platform. However, the energy constrained and limited computing resources of the sensor nodes present major challenges in gathering data. In this work, we propose a new distributed clustering and data aggregation algorithm, CODA (Cluster-based self-Organizing Data Aggregation), based on the distance from the sink in ad-hoc wireless sensor networks. While cluster-based data gathering is efficient at energy and bandwidth, it's difficult to cluster efficiently. We use the distance vector from the sink, which affects the energy depletion of the network. Our simulation results show that the proposed algorithm balances the energy dissipation over the whole network thus prolongs the network lifetime.