Fuzzy Inference System for Mobility Prediction to Control HELLO Broadcasting in MANET

Son, Tran The, Hung, Hoang Bao, Thanh, Vo Duy, Vu, Nguyen and Le Minh, Hoa (2016) Fuzzy Inference System for Mobility Prediction to Control HELLO Broadcasting in MANET. In: Intelligent Information and Database Systems. Lecture Notes in Computer Science, 9622 . Springer, London, pp. 39-50. ISBN 978-3-662-49389-2

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Abstract

HELLO messages are used in many routing protocols in Mobile Ad Hoc Networks (MANET) for updating the neighbour information as well as the changes of network topology. However, periodically broadcasting HELLO messages in a fixed interval wastes of a lot of energy and generates the huge amount of redundant control packets across MANET if network mobility is low. In contrast, the frequency of sending HELLO messages will not quickly enough keep track the change of neighbours if network mobility is high. To solve that problem, this paper introduces a Fuzzy Inference System (FIS) for controlling HELLO frequency based on the prediction of nodes’ mobility. The model helps to reduce the redundant HELLO messages while still ensuring to properly check neighbours and network topology. It is observed that energy consumption of the network saves 5 mW over 100 s (18 mW over 1 h) compared to that of the conventional HELLO broadcasting scheme.

Item Type:	Book Section
Uncontrolled Keywords:	Fuzzy inference system, Mobile ad hoc networks, HELLO broadcasting, Average encounter rate
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Becky Skoyles
Date Deposited:	09 Jun 2016 13:45
Last Modified:	12 Oct 2019 19:21
URI:	http://nrl.northumbria.ac.uk/id/eprint/27084

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