Design and implementation of grid based clustering in WSN using dynamic sink node

Abstract

A wireless sensor networks (WSNs) play a significant application, especially in the monitored remoting environmental, which enables by the availability of sensors which are cheaper, smaller, and intelligent. The equipment of such sensors be with wireless interfaces, which a communication with other sensors occurs for creating a network, that contains many distributed nodes. The closest nodes to the sink are exploited at an enormous traffic load while the data from the whole regions are forwarded between them to reach the sink. This result in exhausting their energy quickly and partitioning the network. This is solved by changing the sink node position in Grid based clustering technique, which considers the optimal method for this purpose. A simulation with MATLAB can be applied for grid based clustering technique to evaluate the performance of WSN. The expected results deal with outperforms in throughput, reducing energy consumption and increasing residual energy, in addition to prolong the network lifetime of the sensor network

“Green technologies” elements by the individual residential buildings internal electrical networks operation

“…In accordance with the studied indicators calculations, their time diagrams changes are constructed, taking into account a balancing device connection on the IDD tires of each IRB (figures [13][14][15][16]. The presented dependencies analysis (figures 13-16) showed the following.…”

“…Very often the term "Smart home" (SH) is found in the literature, which characterizes exactly such IRB with power consumption processes automatic control [10][11][12][13][14]. At the same time, in any from SH technologies there is no implementing possibility uniform power consumption in phases in an internal three-phase electrical network of 0.38 kV.…”

Optimization of sink sojourn time for enhancing the lifetime of wireless sensor network

“…The work proposed in [ 7] speaks about the formation of energy holes around the cluster heads/sink nodes and the authors propose changing the position of sinks across the network to reduce this issue thereby increasing the network lifetime to a huge extent. A clustering algorithm is proposed for this and the sinks are repositioned to new locations at frequent intervals.…”

Energy Efficient Clustering Algorithm for Mobile Cluster Heads to Enhance the Lifespan of Wireless Sensor Network

“…The proposed algorithm minimizes the overall energy consumption which results in an increased throughput and high balance residual energy which obviously enhances the lifetime of network. The authors of [9] propose an energy-efficient algorithm for routing in WSNs through an approach called density-based Fuzzy C-Means clustering (DFCM). This algorithm attains load balancing among the sensor nodes.…”