Node mobility prediction in Wireless Adhoc Network
Sandeep Raskar1, Kamatchi Iyer2
1Sandeep Raskar, Amity University, Mumbai (Maharashtra), India.
2Dr. Kamatchi Iyer, Amity University, Mumbai (Maharashtra), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 592-595 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2866028419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Generally, Link between any two nodes in the wireless network is a bottleneck in process of selecting a path in a network, or among or across multiple networks. Nodes are moving in the network unknowingly. So even if an algorithm selects the node during the path initialization process for the transmission of data among source and destination node, we cannot predict that node will be on the same position in the network when actual data transmission starts. There are many algorithm defined in selection of path in ad hoc network. This paper proposes new concept called Neural Network (NN) model. It predicts the node movements in ad-hoc network during data transmission. Algorithm can predicts the movement of a node in a network on the basis of information of previous movements of that node.
Keyword: Network Model, Shortest Path Routing, Neural Network.
Scope of the Article: Adhoc and Sensor Networks