MAC protocol with grouping awareness GMAC for large scale Internet-of-Things network

Author:

Sameer Sadeq Abdulrahman1ORCID,Hassan Rosilah1ORCID,Hafizah Mohd Aman Azana1,Sallehudin Hasimi1,Allehaibi Khalid2,Albogami Nasser2,Satria Prabuwono Anton3ORCID

Affiliation:

1. Center for Cyber Security, Universiti Kebangsaan Malaysia UKM, Bangi, Selangor, Malaysia

2. Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia

3. Department of Information Technology, Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia

Abstract

The development of Medium Access Control (MAC) protocols for Internet of Things should consider various aspects such as energy saving, scalability for a wide number of nodes, and grouping awareness. Although numerous protocols consider these aspects in the limited view of handling the medium access, the proposed Grouping MAC (GMAC) exploits prior knowledge of geographic node distribution in the environment and their priority levels. Such awareness enables GMAC to significantly reduce the number of collisions and prolong the network lifetime. GMAC is developed on the basis of five cycles that manage data transmission between sensors and cluster head and between cluster head and sink. These two stages of communication increase the efficiency of energy consumption for transmitting packets. In addition, GMAC contains slot decomposition and assignment based on node priority, and, therefore, is a grouping-aware protocol. Compared with standard benchmarks IEEE 802.15.4 and industrial automation standard 100.11a and user-defined grouping, GMAC protocols generate a Packet Delivery Ratio (PDR) higher than 90%, whereas the PDR of benchmark is as low as 75% in some scenarios and 30% in others. In addition, the GMAC accomplishes lower end-to-end (e2e) delay than the least e2e delay of IEEE with a difference of 3 s. Regarding energy consumption, the consumed energy is 28.1 W/h for GMAC-IEEE Energy Aware (EA) and GMAC-IEEE, which is less than that for IEEE 802.15.4 (578 W/h) in certain scenarios.

Funder

Ministry of Higher Education

Publisher

PeerJ

Subject

General Computer Science

Reference32 articles.

1. A traffic congestion framework for smart riyadh city based on IoT services;Al-Majhad;International Journal of Advanced Computer Science and Applications,2018

2. Efficient Nakagami-m fading channel simulation;Beaulieu;IEEE Transactions on Vehicular Technology,2005

3. Surveillance of sensitive fenced areas using duty-cycled wireless sensor networks with asymmetrical links;Benzerbadj;Journal of Network and Computer Applications,2018

4. Energy efficient robust scheduling of periodic sensor packets for discrete rate based wireless networked control systems;Farayev;Ad Hoc Networks,2020

5. ISA 100.11a networked control system based on link stability;Florencio;Sensors (Basel),2020

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