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Fuzzy-clustering-based intelligent and secured energy-aware routing
S. Kamalanathan, S.R. Lakshmanan,
Published in IGI Global
2016
Pages: 24 - 37
Abstract
In many applications such as disaster management, temperature control, weather forecasting, industrial control system and forest fire detection, it is very difficult for a human to monitor and control each and every event in real time. Even with advancement in technology, this issue has remained a challenging task. The existing Wireless Network may not be suitable for data communication with human network. Hence, to monitor and control the physical parameters of the environment, a special device with needed functionalities is required. The network which is formed with these devices is known as sensor network. This is used to monitor, control and send the collected information to the end user. These networks are formed with a large number of sensor nodes with limitation such as self-energized, low computation power, infra-structure less, multi-hop communication and without central administrator control. Due to the ad hoc nature, the nodes are deployed unevenly over a geographical region, it is necessary to provide some mechanism to manage and control the topology of the sensor nodes to prolong their life time. Clustering algorithms are useful for data mining, compression, probability density estimation and many other important tasks like IDS. Clustering algorithm utilize a distance metric in order to partition network traffic patterns so that patterns within a single group have same network characteristics than in a different group. The proposed system builds a Fuzzy logic clustering model that can perform three different types of clusters in order to achieve the secure and energy aware routing of packets. © 2017, IGI Global.
About the journal
JournalHandbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making
PublisherIGI Global