Title: Propagation analysis of MIMO ad hoc network in hybrid propagation model and implement less propagation loss algorithm to find the minimum loss route

Authors: Swati Chowdhuri; Sayan Chakraborty; Nilanjan Dey; Sheli Sinha Chaudhuri; Pranab Banerjee

Addresses: Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India ' Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal, India ' Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal, India ' Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India ' Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India

Abstract: Developing applications, especially real time ones mobile ad hoc network (MANET) requires a reasonable assurance of the likely performance of the network. MANET is realised by mobile nodes which communicate difficult task. Amongst many important properties of radio propagation model has to be selected carefully. This paper presents a hybrid propagation model of ad hoc network with multiple numbers of antennas. The hybrid technique ensures improved accuracy and practicality of the entire modelling environment. Currently study a modelled network consisting of ad hoc nodes with multiple antennas in different terrain and the propagation loss is calculated of the modelled network for the each ad hoc node. A loss less routing algorithm is implemented here and finally minimum loss route is selected for propagation in different terrain.

Keywords: mobile ad hoc networks; MANETs; multi input multi output; MIMO; propagation loss; terrain; lossless routing; multiple antennas; network modelling.

DOI: 10.1504/IJICT.2017.081005

International Journal of Information and Communication Technology, 2017 Vol.10 No.1, pp.66 - 80

Received: 24 May 2014
Accepted: 29 Sep 2014
Published online: 15 Dec 2016 *

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