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Titlebook: Computational Intelligence in Sensor Networks; Bijan Bihari Mishra,Satchidanand Dehuri,Himansu Da Book 2019 Springer-Verlag GmbH Germany,

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Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/232538.jpg
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https://doi.org/10.1007/978-3-322-87513-6nicates with each other via sending data among themselves. Query for communication among sensor nodes can be framed in different forms leading into different computation cost. So, the generation and selection of query plan of minimum cost becomes combinatorial in nature which cannot be solved in pol
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Michael F. Hüttemann,Mathias Bühring-Uhle years, sensor node localization is an emerging research area in WSNs. The sensor data become useless, if we do not know the location of the reporting node. Coordinates determination of the sensor node is a challenging problem and it is referred as localization problem. The nodes which has unknown c
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https://doi.org/10.1007/978-3-322-87513-6r own set of challenges likewise data redundancy, resource constraints, security, packet errors and variable-link capacity etc. Among all, management of energy resource is of high importance as the efficient energy mechanism increases the lifespan of the network. Thereby providing good Quality of Se
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Michael F. Hüttemann,Mathias Bühring-Uhleental condition and statistics. In most of its applications, the sensors nodes are initially deployed randomly and then they are expected to self-organize themselves using protocols or algorithms. Routing protocol ensures an optimum path connecting source and destination node either in a single path
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Leitbilderstellung und Kernstrategie,eference models designed for wired networks follow strict layered doctrine. But by changing times, a paradigm shift from wired to wireless networks, opened a plethora of both options and challenges before us. However, lack of communication among adjacent layers of these reference models, limits the
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https://doi.org/10.1007/978-3-8349-9836-1variables. However from literature, it is confirmed that a hybrid approach is always better in performance than a single algorithm. This is because the hybridization leads to combine all the advantages of the individual approaches, leading to the production of more effective and much improved result
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