A survey on intelligent routing protocols in wireless sensor networks

This paper surveys intelligent routing protocols which contribute to the optimization of network lifetime in wireless sensor networks (WSNs). Different from other surveys on routing protocols for WSNs, this paper first puts forward new ideas on the definition of network lifetime. Then, with a view t...

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Veröffentlicht in:Journal of network and computer applications Jg. 38; S. 185 - 201
Hauptverfasser: Guo, Wenjing, Zhang, Wei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.02.2014
Elsevier
Schlagworte:
Access methods and protocols, osi model
Ant colony optimization
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Exact sciences and technology
Fuzzy logic
Genetic algorithm
Intelligent routing protocols
Neural networks
Radiocommunications
Reinforcement learning
Software
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Fuzzy logic
Ant colony optimization
Intelligent routing protocols
Genetic algorithm
Neural networks
Reinforcement learning
Liveness
Durability
Routing
Neural network
Adaptive method
Fuzzy algorithm
Wireless network
Swarm intelligence
Routing protocols
Sensor array
Artificial intelligence
ISSN:1084-8045, 1095-8592
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Zusammenfassung:This paper surveys intelligent routing protocols which contribute to the optimization of network lifetime in wireless sensor networks (WSNs). Different from other surveys on routing protocols for WSNs, this paper first puts forward new ideas on the definition of network lifetime. Then, with a view to prolonging network lifetime, it discusses the routing protocols based on such intelligent algorithms as reinforcement learning (RL), ant colony optimization (ACO), fuzzy logic (FL), genetic algorithm (GA), and neural networks (NNs). Intelligent algorithms provide adaptive mechanisms that exhibit intelligent behavior in complex and dynamic environments like WSNs. Inspired by such an idea, some intelligent routing protocols have recently been designed for WSNs. Under each category, it discusses the representative routing algorithms and further analyzes the performance of network lifetime defined in three aspects. This paper intends to give assistance in the optimization of network lifetime in WSNs, together with offering a guide for the collaboration between WSNs and computational intelligence (CI).
ISSN:1084-8045
1095-8592
DOI:10.1016/j.jnca.2013.04.001