Navegando por Assunto "Cluster head"

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Acesso aberto (Open Access)
Controle energeticamente eficiente de múltiplos saltos para redes de sensores sem fio heterogêneas utilizando lógica fuzzy
(Universidade Federal do Pará, 2014-03-21) SILVA, Alexandre Márcio Melo da; SILVEIRA, Antônio Morais da; http://lattes.cnpq.br/7549503749842625
This study presents a centralized control to elect appropriate Cluster Heads (CHs), assuming three levels of heterogeneity and multi-hop communication between Cluster Heads. The centralized control uses the k-means algorithm, responsible for the division of clusters and Fuzzy Logic to elect the Cluster Head and selecting the best route of communication between elected. The results indicate that the proposal offers great advantages, allowing us to select the most suitable nodes for group leaders at each round based on the Fuzzy System values, and also the use of Fuzzy Logic as a decision tool to implement multiple hops between CHs, since it minimizes the power dissipation of the selected CHs more distant from the collection point. The insertion of three levels of heterogeneity,corresponding to normal, advanced and super sensors, contributes considerably to increasing the period of network stability. Another great contribution obtained from the is the use of a central control in base station (BS) with advantages over local information processing in each node, a process usually found in traditional algorithms for electing CHs. The proposed solution proved that the election of the more efficient CH, considering its location and energy levels discrepancies, and also, the inclusion of new heterogeneity levels, allows to increase the networkstability period, ie, the period that the network is fully functional, greatly increasing the useful lifetime in heterogeneous WSN.
Acesso aberto (Open Access)
Estratégia de redução de consumo de energia em redes de sensores sem fio heterogêneas utilizando lógica fuzzy
(Universidade Federal do Pará, 2012-10-26) MACIEL, Christiano do Carmo de Oliveira; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
The increase in wireless communication and microelectronic devices enables the development of micro sensors with monitoring capable for large areas. Consisting of thousands of sensor nodes, working collaboratively, the Wireless sensor networks have severe energy constraints, due to the limited capacity of batteries of the nodes that compose the network. The power consumption can be minimized by allowing only a few special nodes, called Cluster Head, are responsible for receiving data from its cluster nodes that form and propagate this data to a collection point called Base Station. The choice of optimum cluster head influence on increasing the period of stability of the network, maximizing their useful life. The proposal, presented in this thesis, uses Fuzzy Logic and k-means algorithm based on centralized information on Base Station for election of ideal Cluster Head for Heterogeneous Wireless Sensors Networks. The criteria used to select the ideal Cluster Head are based on the node centrality, energy level and proximity to the Base Station. This dissertation presents the disadvantages when the local information are used to the cluster leader election and the importance of discriminatory treatment on the energy discrepancies in the network. This proposal is compared with the Low Energy Adaptive Clustering Hierarchy (LEACH) and Distributed energy-efficient clustering (DEEC) algorithms. This comparison is evaluated using the end of the stability period and the lifetime of the network.