Introduction to algorithms
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
An Energy Efficient Routing Mechanism for Wireless Sensor Networks
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
Cluster-based Hierarchical Time Synchronization for Multi-hop Wireless Sensor Networks
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
Self-organization in Autonomous Sensor and Actuator Networks
Self-organization in Autonomous Sensor and Actuator Networks
ACM Transactions on Sensor Networks (TOSN)
A survey on clustering algorithms for wireless sensor networks
Computer Communications
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Dynamic/Static Clustering Protocol for Wireless Sensor Network
EMS '08 Proceedings of the 2008 Second UKSIM European Symposium on Computer Modeling and Simulation
EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks
Computer Communications
Distributed Clustering Algorithm with Load Balancing in Wireless Sensor Network
CSIE '09 Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 01
A Clustering Algorithm Based on K-means for Wireless Indoor Monitoring System
ITCS '09 Proceedings of the 2009 International Conference on Information Technology and Computer Science - Volume 01
Approximate Distributed K-Means Clustering over a Peer-to-Peer Network
IEEE Transactions on Knowledge and Data Engineering
Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks
IEEE Transactions on Knowledge and Data Engineering
L-SYNC: Larger Degree Clustering Based Time-Synchronisation for Wireless Sensor Network
SERA '10 Proceedings of the 2010 Eighth ACIS International Conference on Software Engineering Research, Management and Applications
Data-aggregation techniques in sensor networks: a survey
IEEE Communications Surveys & Tutorials
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
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In Wireless Sensor Networks (WSN), one of the major issues is to maximize the network lifetime. Since all sensor nodes directly send the data to the Base station, the energy requirement is very high. This reduces the lifetime of the network. One of the solutions is to partition the network into various clusters which avoids direct communication. In this paper we propose an Energy efficient Cluster Based Data Aggregation (ECBDA) scheme for sensor networks. In this algorithm, Cluster members send the data only to its corresponding local cluster head, there by communication overhead is reduced. Data generated from neighboring sensors are often redundant and highly correlated. So the cluster head performs data aggregation to reduce the redundant packet transmission. In our approach, clusters are formed in a non-periodic manner to avoid unnecessary setup message transmissions. Re-clustering is performed only when CH needs to balance the load among the nodes. The simulation results show that our approach effectively reduces the energy consumption and hence the network lifetime is also increased.