Intelligent unequal clustering in wireless sensor networks using a game theoretic and evolutionary strategy. [PDF]
Qu Y, Qu Y, Zhu Z, Deng L, Xu X.
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Smart pareto-optimized genetic algorithm for energy-efficient clustering and routing in wireless sensor networks. [PDF]
Rajalakshmi M, Ponni Alias Sathya S.
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A Drift-Aware Clustering and Recovery Strategy for Surface-Deployed Wireless Sensor Networks in Ocean Environments. [PDF]
Wang L, Hong QX.
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HAO-AVP: An Entropy-Gini Reinforcement Learning Assisted Hierarchical Void Repair Protocol for Underwater Wireless Sensor Networks. [PDF]
Hao L, Ma C, Ao J.
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An efficient charging strategy for wireless sensor networks based on saturation degree and Enhanced Grey Wolf optimization. [PDF]
Neelagandan P, Balaji S.
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Wireless sensor networks: a survey
Computer Networks, 2002This paper describes the concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics. First, the sensing tasks and the potential sensor networks applications are explored, and a review of factors influencing the design of sensor networks is ...
I F Akyildiz
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The confluence of inexpensive wireless communication, computation, and sensing has created a new generation of smart devices. Using tens to thousands of these devices in self-organizing networks has created a new technology referred to as wireless sensor networks. This article gives an overview of the wireless sensor networks.
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On the Planarization of Wireless Sensor Networks
Algorithmica, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fenghui Zhang, Anxiao Jiang, Jianer Chen
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Recovery of Sensors in Wireless Sensor Networks
2009 Fifth International Joint Conference on INC, IMS and IDC, 2009The failure in cluster at a high level can bring up great damages to the system in wireless sensor networks where clustering techniques are used. Certain methods have been reported in the literature in recovering the sensors from a failure cluster. One of the most important methods is to recover the sensors in run-time and without clustering. But it is
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Lifetime in Wireless Sensor Networks
2009 International Conference on Complex, Intelligent and Software Intensive Systems, 2009The following paper deals with criterion used to measure communication protocol efficiency in Wireless Sensor Networks. As energy is a crucial characteristic of those networks, it is necessary to pay attention both to the energy consumption and to the distribution of energy consumption, when using communication protocols, so as to increase the lifetime
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