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Title: A New Mobility Control Approach for Improved Route Availability in Mobile Ad Hoc Networks
Authors: Tripathy B.K.
Jena S.K.
Bera P.
Das S.
Keywords: Adaptive
Extreme learning machine
Mobile Ad hoc Network (MANET)
Mobility control
Mobility prediction
Routing protocol
Weighted Clustering Algorithm (WCA)
Issue Date: 2019
Abstract: Efficient routing is one of the key challenges in mobile ad hoc networks due to stringent requirements and deployment demands in many safety-critical application contexts such as disaster rescue operations and battlefields. In most cases, the autonomous nature of node mobility causes frequent link failures and critical packet loss, which affects the overall performance of the underlying routing function. In this paper, we proposed a novel mobility control mechanism that guides the mobility behavior of the ad hoc nodes that may potentially move out of range from others. Designated coordinator nodes allocated by weighted clustering algorithm periodically execute the mobility control function to predict the future trajectories of the mobile nodes in terms of their mobility states using extreme learning machine approach. Accordingly, appropriate control packets are sent by the coordinator nodes to the nodes that may potentially move out of range from others in order to modify their future mobility states. This, in turn, drives the routing function by efficiently avoiding the unexpected route breaks and packet loss, rather yielding higher route availability. The in-depth simulation results report that the proposed mobility control mechanism significantly yields better performance compared to the state-of-the-art approaches and shows robust behavior even in highly mobile tactical and safety-critical scenarios. � 2019, King Fahd University of Petroleum & Minerals.
Appears in Collections:Research Publications

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