Titlebook: Computational Intelligence in Wireless Sensor Networks; Recent Advances and Ajith Abraham,Rafael Falcon,Mario Koeppen Book 2017 Springer I

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Strategische Investitionsplanungbles are fuzzified using trapezoidal and triangular membership functions in MATLAB. In this fuzzification, a Max–Min inference engine and a Mamdani-type rule base was adopted in order to make the best decision for each situation. Thus by preventing needless irrigation, not only water demand is reduc

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https://doi.org/10.1007/978-3-322-86284-6 cellular networks provide mobile phone positioning facility with better performance accuracy and this opportunity can help to obtain accurate traffic flow information in cost effective manner on the entire road networks. The purpose of this chapter is to present our approach for real-time road traf

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Herbert Wanner,Mireille J. Quirinabe detected and transmitted to help user at the monitoring site to take necessary action. In this chapter, particle swarm optimization (PSO) based efficient anomaly detection system (EADS) is proposed which will detect the presence of anomalies and transmit the required measurements via TelosB nodes

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Katja Steinmann,Andreas Weishaarst manner to come up with these trajectories by taking into account the current energy levels of the participating passive sensors as well as the ideal locations for their deployment. We resort to multi-objective optimization (MOO) to handle the tradeoffs among the different decision objectives that

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A Genetic Programming Approach to Cost-Sensitive Control in Wireless Sensor Networks, based on both cost and accuracy. We compare these approaches in a setting where the available budget for sampling is considered to remain constant, and in a setting where the system is sensitive to a fluctuating budget, for example available battery power. We show that in both settings, for increas

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A Study on Performance of Hill Climbing Heuristic Method for Router Placement in Wireless Mesh Netwi-objective optimization models. Thus, for the mesh router nodes placement, the bi-objective optimization problem is obtained consisting in the maximization of the size of the giant component in the mesh routers network (for measuring network connectivity) and that of user coverage. Some computation

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Efficient Anomaly Detection System for Video Surveillance Application in WVSN with Particle Swarm Obe detected and transmitted to help user at the monitoring site to take necessary action. In this chapter, particle swarm optimization (PSO) based efficient anomaly detection system (EADS) is proposed which will detect the presence of anomalies and transmit the required measurements via TelosB nodes