Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Flexible power scheduling for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Mires: a publish/subscribe middleware for sensor networks
Personal and Ubiquitous Computing
Middleware: Middleware Challenges and Approaches for Wireless Sensor Networks
IEEE Distributed Systems Online
Clustering in WSN with Latency and Energy Consumption Constraints
Journal of Network and Systems Management
Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Networks
IEEE Transactions on Computers
A survey on clustering algorithms for wireless sensor networks
Computer Communications
Clustered publish/subscribe in wireless actuator and sensor networks
Proceedings of the 6th international workshop on Middleware for pervasive and ad-hoc computing
EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks
Computer Communications
Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Distributed energy-efficient hierarchical clustering for wireless sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Survey Secure and reliable clustering in wireless sensor networks: A critical survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive neighbor discovery for mobile and low power wireless sensor networks
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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Wireless Sensor Networks (WSNs) often contain a large number of nodes. In order to organize nodes efficiently for a long lifespan, clustering algorithm is demanded in WSNs to reduce redundant data transmissions and to save energy. We propose a novel clustering algorithm to create reliable and energy-aware clusters for in-network data processing. The clustering algorithm is a new service on a publish/subscribe middleware called Mires. The goal is to improve load balancing and robustness. Our clustering algorithm considers location information to facilitate boundary control. We conducted simulations to evaluate performance and energy efficiency. We implemented a prototype for feasibility demonstration.