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Node Connectivity of Random Distributed for Wireless Sensor Network with Adjacent Method | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 8, Issue 2, 2018, Pages 104-127 | ||
| Author | ||
| Alaa Hussain Ali | ||
| Abstract | ||
| Wireless Sensor Network (WSN) is manifold and divergent subject. Distribution of random node algorithm is established to simulate depletion of wireless sensor network nodes in uncontrolled environments. This algorithm estimates x and y coordinates include combination of uniform with equal distance grid allocation added to normal distribution deviation compared with grid step distance. Innovative algorithm of adjacent method is created and implemented using MATLAB m-files to connect nodes within predefined maximum transmitted radius of effective nodes. Adjacent method is designed to reduce number of nodes used and their connections. Adjacent method is applied to local nodes within maximum radius allowed, eliminates adjacent nodes near or in between active nodes and constructs connections accordingly node by node in ascending order. The resultant network is compared with overall connected network and with minimum spanning tree. Number of connected nodes, number of trivial nodes and number of disconnected nodes for different densities and different effective radii are estimated and presented to analyze optimum transmitted radius. | ||
| Keywords | ||
| Wireless Sensor Network; Node Connectivity of Random | ||
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