Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Minimizing communication costs in hierarchically-clustered networks of wireless sensors
Computer Networks: The International Journal of Computer and Telecommunications Networking
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites
Information Sciences—Informatics and Computer Science: An International Journal
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
A biologically-inspired clustering protocol for wireless sensor networks
Computer Communications
A Weighted Clustering Algorithm Based Routing Protocol in Wireless Sensor Networks
CCCM '08 Proceedings of the 2008 ISECS International Colloquium on Computing, Communication, Control, and Management - Volume 02
Fuzzy Self-Clustering for Wireless Sensor Networks
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 01
Mobile Information Systems
Distributed energy-efficient hierarchical clustering for wireless sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
A new fuzzy MCDM method based on trapezoidal fuzzy AHP and hierarchical fuzzy integral
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Fuzzy logic based propagation limiting method for message routing in wireless sensor networks
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
A new cluster head selection scheme for long lifetime of wireless sensor networks
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Cooperative Space-Time Block Codes for Wireless Video Sensor Networks
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Personal and Ubiquitous Computing
Hi-index | 0.00 |
Energy efficiency is an essential issue in the applications of wireless sensor networks (WSNs) all along. Clustering with data aggregation is a significant direction to improve energy efficiency through software. The selection of cluster head (CH) is the key issue in the clustering algorithm, which is also a multiple criteria decision making (MCDM) procedure. In this paper, a novel fuzzy multiple criteria decision making approach, which is based on trapezoidal fuzzy AHP and hierarchical fuzzy integral (FAHP), is introduced to optimize the selection of cluster heads to develop a distributed energy-efficient clustering algorithm. Energy status, QoS impact and location are taken into account simultaneously as the main factors that can influence the selection of cluster heads while each factor contains some sub-criteria. Fuzzy multiple attribute decision making is adopted to select optimal cluster heads by taking all factors into account synthetically. According to these criteria, each node computes a composite value by using fuzzy Integral. Then this composite value is mapped onto the time axis, and a time-trigger mechanism makes the node broadcast cluster head information. The rule that "first declaration wins" is adopted to form the cluster. Simulation results denote that our proposed scheme has longer lifetime and more eximious expansibility than other algorithms.