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A Memory Aided Broadcast Mechanism with Fuzzy Classification on a Device-to-Device Mobile Ad Hoc Network

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Abstract

Each device in being mobile ad hoc network (MANET) is overcome to navigate independently in any direction of side. The key challenge in building a MANET is availing every device to frequently maintain the information using static and dynamic topology. When the mobility is high scalable broadcast algorithm (SBA) is used and when the mobility is low memory aided broadcast algorithm (MaBA) is used for broadcasting packets. The MaBA is the algorithm where hubs on their memory to choose whether to forward stream or backward stream. The fuzzy enabled environs aware broadcast algorithm; a host maintains the local mobility around itself and defined user to choose which of two broadcast mechanisms to use. The Fuzzy logic is a Boolean conventional logic which has been increased to handle the concept of partial values between “completely true” and “completely false”. As its name convinced different logic underlying the modes of reasoning which are approximate rather than exact. The significance of fuzzy logic from the host derives. The fuzzy logic is going to work with the two algorithms SBA and MaBA and it divides the network into static, semi-static and dynamic.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Cheranmahadevi, Tamilnadu, 627414, India

    Y. Harold Robinson

  2. Anna University, Chennai, Tamilnadu, 600025, India

    M. Rajaram

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  1. Y. Harold Robinson
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  2. M. Rajaram
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Correspondence to Y. Harold Robinson.

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Harold Robinson, Y., Rajaram, M. A Memory Aided Broadcast Mechanism with Fuzzy Classification on a Device-to-Device Mobile Ad Hoc Network. Wireless Pers Commun 90, 769–791 (2016). https://doi.org/10.1007/s11277-016-3213-0

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  • DOI: https://doi.org/10.1007/s11277-016-3213-0

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