QoS enabled cross-layered clustering for mitigating flooding queries in internet of thing networks / Fawad Ali Khan

Fawad , Ali Khan (2022) QoS enabled cross-layered clustering for mitigating flooding queries in internet of thing networks / Fawad Ali Khan. PhD thesis, Universiti Malaya.

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Abstract

The Internet of Things (IoT) has received a lot of attention in recent years since it connects everyday things across a wide range of applications and domains. The IoT is intended to improve human lives through the rapid creation of resource-constrained gadgets and the rising connectivity of physical embedded devices that interact using present Internet infrastructure. To exchange queries among heterogeneous IoT networks, numerous sensors require bandwidth and network resources. Network flooding is a vital method for successful query exchange. However, the risk of the intended flooding queries is that they will result in unwanted and redundant network queries, resulting in increased network traffic. The leading cause of inefficient resources utilization is redundant, unwanted and flooding queries. Therefore, in this interconnected world of resource-controlled gadgets, the key issues are to mitigate redundant, unwanted and flooding queries. In this way, IoT devices need a lot of energy and take a long time to compute. More queries lead to increased bandwidth consumption and poor Quality-of-Service (QoS). Existing techniques are primarily concerned with how to speed up fundamental routing, have limited features, and only give QoS solutions to particular IoT layers. However, a sole QoS enabled cross-layered solutions for flooding suitable for both physical and network layers devices have not been studied yet. In this research, A QoS enabled cross-layered clustering (Cluster Based Flooding) an interoperable solution for network and sensor layer devices is proposed. The proposed system can minimize energy consumption, delay, network flooding, detect and eliminate redundant flooding queries by using a query control mechanism (QCM). The core idea behind the Cluster based flooding (CBF) is to split the network into various clusters. Inside the cluster Intralayer cluster (IALC) is responsible to maintain the local query information proactively. While outside the cluster Interlayer cluster (IELC) is used to reactively transfer the routing queries outside the cluster. The CBF is a hybrid method that can be more effective compared to conventional systems in terms of query traffic generation. However, if proper redundant query detection and termination mechanisms are not used, the CBF may generate more control traffic than typical flooding techniques. In this study, we employed the Cooja network simulator to assess the QoS performance of the proposed CBF. Based on the simulation results, the proposed technique is superior to traditional flooding and state-of-the-art in terms of traffic delays, network throughput and energy consumption under various performance metrics. Further, this study also contributes a testbed that is based on real-time scenarios.

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