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WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
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HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
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ISPAN '99 Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
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Wireless sensor networks for acoustic monitoring
Energy Residue Aware (ERA) Clustering Algorithm for Leach-based Wireless Sensor Networks
ICSNC '07 Proceedings of the Second International Conference on Systems and Networks Communications
Improvement on LEACH Protocol of Wireless Sensor Network
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
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EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 01
Distributed, hierarchical clustering and summarization in sensor networks
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
Capacitive indoor positioning and contact sensing for activity recognition in smart homes
Journal of Ambient Intelligence and Smart Environments
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The advances of Micro-electromechanical systems (MEMS) technology lead to new types of sensors named “multimodal” sensors where multiple features can be sensed and reported by one sensor. Forming a wireless sensor network of such sensors poses new challenges to the wireless sensor networks in addition to the current challenges. Currently, each multimodal sensor reports periodically a message for each feature or a long message that contains all the features compared to the traditional sensors. Such multimodal sensor networks could be used for multiple purposes and serve different applications. However, data handling and information processing as well as data/decision tasks became much harder than before. In this paper, we introduce a set of clustering algorithms taking into consideration the reported multiple features as well as some of the sensors parameters such as nodes' residual energy and clusterheads' degree. The paper utilizes different clustering techniques including fuzzy logic. The proposed algorithms are designed to simplify the next step operation which is data/decision fusion and decision making operations. Through an extensive set of experiments, the proposed algorithms are evaluated.