MBMQA: A multicriteria-aware routing approach for the IoT 5G network based on D2D communication
Document Type
Article
Publication Date
12-1-2021
Abstract
With the rapid development of future wireless networks, device-to-device (D2D) technology is widely used as the communication system in the Internet of Things (IoT) fifth generation (5G) network. The IoT 5G network based on D2D communication technology provides pervasive intelligent applications. However, to realize this reliable technology, several issues need to be critically addressed. Firstly, the device's energy is constrained during its vital operations due to limited battery power; thereby, the connectivity will suffer from link failures when the device's energy is exhausted. Similarly, the device's mobility alters the network topology in an arbitrary manner, which affects the stability of established routes. Meanwhile, traffic congestion occurs in the network due to the backlog packet in the queue of devices. This paper presents a Mobility, Battery, and Queue length Multipath-Aware (MBMQA) routing scheme for the IoT 5G network based on D2D communication to cope with these key challenges. The back-pressure algorithm strategy is employed to divert packet flow and illuminate the device selection's estimated value. Furthermore, a Multiple-Attributes Route Selection (MARS) metric is applied for the optimal route selection with load balancing in the D2D-based IoT 5G network. Overall, the obtained simulation results demonstrate that the proposed MBMQA routing scheme significantly improves the network performance and quality of service (QoS) as compared with the other existing routing schemes.
Keywords
D2D, IoT, 5G, Back-pressure, MARS, MBMQA
Divisions
sch_ecs
Funders
Sri Lanka Technological Campus, Sri Lanka (RRSG/20/A7),Tomsk Polytechnic University, Russia
Publication Title
Electronics
Volume
10
Issue
23
Publisher
MDPI
Publisher Location
ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND