A channel access scheme for large dense packet radio networks
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
A transmission control scheme for media access in sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Predictive filtering: a learning-based approach to data stream filtering
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Energy-scalable algorithms and protocols for wireless microsensor networks
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
Modified clipped LMS algorithm
EURASIP Journal on Applied Signal Processing
Data-aggregation techniques in sensor networks: a survey
IEEE Communications Surveys & Tutorials
A centralized energy-efficient routing protocol for wireless sensor networks
IEEE Communications Magazine
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
A multi-agent approach to energy-aware wireless sensor networks organization
AT'13 Proceedings of the Second international conference on Agreement Technologies
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Wireless sensor networks are generally deployed in remote areas where no infrastructure is available. This imposes the use of battery operated devices which seriously limits the lifetime of the network. In this paper we present a cluster-based routing algorithm which is based on Fuzzy-ART neural networks to maximize the life span of such networks. Results show that the energy saving obtained improves the network lifetime by 79.6%, 17.1% and 22.4% (in terms of First Node Dies) when compared to LEACH, a centralised version of LEACH and a self-organizing map (SOM) neural network-based clustering algorithm respectively. Furthermore, this paper explores the use of a base station centric predictive filtering algorithm to reduce the amount of transmitted data leading to a further increase in network lifetime.