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An efficient networking protocol for internet of things to handle multimedia big data

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Abstract

In recent years, the emergence of multimedia big data (MBD) due to the excessive use of mobile Internet of Things (ioT) is imposing various challenges to develop efficient communication with the digital world. In this aspect, Mobile Adhoc Network based IoT (MANET-IoT) system is becoming popular due to its greater mobility support and cost-effective nature. A mobile ad hoc network (MANET) consists of randomly placed, battery-powered, moving nodes without an infrastructure that can administer and control traffic in the IoT network. In the MANET-IoT network, the major problems include energy consumption and congestion control to handle MBD data. In this paper, we present two proposals for solving these problems. In the first proposal, a new clustering approach that depends on a well-known protocol called the Low Energy Adaptive Clustering Hierarchy (LEACH) been used in a wireless sensor network (WSN) with modification to adapt to the MANET-IoT’s mobility. Our proposal for applying LEACH to a MANET-IoT consists of rounds, each containing three ordered phases as follows: (1) the announcement phase, in which all nodes announce their remaining energy and the node with the original message also announces itself; (2) the setup phase, in which all cluster heads are selected based on the probability factor with a cycling method; and (3) the steady state phase, in which message delivery to all nodes occurs using several types of links. The second proposal is to provide congestion control for all mobile nodes by link utilization that can support different data rates depending on the link status. Simulation results comparing our modified LEACH protocol to state-of-the-art protocols with utilized links show a great enhancement in energy consumption, received data, throughput, and delay.

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Acknowledgements

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group no (RGP- 1437-35).

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  1. College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia

    Bandar H. Al-Qarni, Ahmad Almogren & Mohammad Mehedi Hassan

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  1. Bandar H. Al-Qarni
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Correspondence to Mohammad Mehedi Hassan.

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Al-Qarni, B.H., Almogren, A. & Hassan, M.M. An efficient networking protocol for internet of things to handle multimedia big data. Multimed Tools Appl 78, 30039–30056 (2019). https://doi.org/10.1007/s11042-018-6883-7

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