Multiple Sink Positioning and Relocation for Improving Lifetime in Wireless Sensor Network

Aragaw Mehabie Gebremeskel, Nageswara Kuda, Rao
International Research Journal of Engineering and Technology (IRJET)   unpublished
A wireless sensor network consists of a large number of small sensors with limited energy. Increase network lifetime, node mobility and load balancing are important requirements for many WSN applications. Clustering the sensor nodes is an effective technique to achieve these goals. In Wireless Sensor Networks, energy efficiency is an important issue, since the sensor nodes act as both data originator and data router. The sink functionality typically includes gathering sensing data from sensors
more » ... n the network most single hop relays performing data processing. The nodes are equal distance to the sink, so there are no nodes which have to take the heavy traffic load and deplete their energy quickly leading the energy hole around the sink. The sink nodes which are placing the center of sensor nodes. The sensor nodes communicate with other nodes within short distance via wireless medium. The sensor nodes are placed in the static places, but the sink nodes are movable. The sink nodes move to mean value. In multiple sink positioning sinks move to their mean value. The sensor nodes are used to sense data the desired physical parameters and they send the sensed data to the sink nodes. In wireless sensor network sink relocation and sink positioning are one of the most effective solutions to improving network lifetime. A system Propose k-means clustering algorithm to minimize the energy consumption of each sensor node and sink nodes in order to maximize their network lifetime in wireless sensor networks. K-means clustering algorithm is the process of partition sensor nodes into different groups (clusters) and select a sink node from each cluster. K-means clustering algorithm used to randomly select sink nodes and calculate the distance between each sensor node to all sink nodes, then assign each sensor node to the sink node whose distance from the sink nodes is the minimum of all the sink nodes, then move the sink node to the center of all sensor nodes. In an energy efficient novel clustering scheme is designed in order to provide low energy consumption, reducing the overload on sensor nodes and increase network lifetime of wireless sensor network. The cluster based selecting sink node technique is one of the major approaches in reducing energy consumption in wireless sensor networks. The main idea of this thesis is to reduce data transmission distance of sensor nodes in wireless sensor networks by using clustering concepts. However, clustering concepts face several challenges the selection of sink nodes, moving the role of sink nodes in clusters and optimal data routing in the network. So, the system proposes a protocol which provides energy efficient clustering and optimal data routing to increase the network lifetime.
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