Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Handbook of Networked and Embedded Control Systems (Control Engineering)
Handbook of Networked and Embedded Control Systems (Control Engineering)
Energy-efficient medium access control protocols for wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
An asynchronous MAC protocol for wireless sensor networks
Journal of Network and Computer Applications
A study of self-organization mechanisms in ad hoc and sensor networks
Computer Communications
Algorithms and Protocols for Wireless Sensor Networks
Algorithms and Protocols for Wireless Sensor Networks
Distributed Latency-Energy Minimization and interference avoidance in TDMA Wireless Sensor Networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
MAC Essentials for Wireless Sensor Networks
IEEE Communications Surveys & Tutorials
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
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Integration of algorithms and protocols from different layers will make possible the deployment of large-scale wireless sensor networks which are the basis of interesting monitoring applications. The growing number of nodes that comprise within these networks requires a correct organization and efficient node synchronization to ensure data reliability. In this study, we focus on the integration of fuzzy-logic based routing with a TDMA MAC protocol. By considering the experimental results of them working separately, we have integrated them to work together. The use of a rapid configuration and efficient slot assignment from the MAC protocol, and the accuracy of the logical tree created using fuzzy logic, allows to have a network in which nodes are both organized and synchronized, while load balance extends network lifetime.