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Quality of Service (QoS) Enhancement of IoT WSNs Using an Efficient Hybrid Protocol for Data Aggregation and Routing

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Abstract

Wireless Sensor Networks (WSNs) have been an important component of the Internet of Things (IoT) in the 5G and next-generation data communication networks. IoT WSN plays a vital role in monitoring, collecting, and reporting the sensed data in the surrounding context. Anytime anywhere, data availability in IoT WSNs brings high packetized data volume and complex data routing process in exchanging information from the sensor node to cluster head and sink. In achieving QoS in a sensor network, data aggregation and dynamic traffic routing play an important role and, hence, impose challenges in itself. The wireless sensor nodes in IoT have limited processing capability and scarcity of power; hence, it becomes thought-provoking to select and use efficient protocol for data aggregation and dynamic routing. Largely, energy efficiency and less delay govern the QoS performance of the IoT WSN. This research paper proposes a novel and effective hybrid data aggregation and routing protocol at the network layer to bring out efficacy in end-to-end delay and energy efficiency by modifying the delay- and energy-efficient data collection (DEEDC) and the reactive anchor-based routing protocol. The proposed approach of mixed time slot scheduling strategy for data aggregation and anchor-based dynamic data traffic routing gives efficacy to construct energy- and delay-efficient, collision-free time slot schedule scheme for data aggregation and routing with constrained flooding and dynamic clustering. The research work considers WSN deployed to monitor spatio-temporal events with a mobile sink. This holistic approach resulted in reduced energy consumption and delay, and a higher number of data packets processed by the sink successfully. The applicable mathematical modeling and substantiated simulation results have been carried out using Network Simulator 2 (NS2), an open-source event-driven simulator for WSNs. The following QoS performance metrics: throughput, end-to-end delay, packet delivery ratio, routing overhead, energy consumption have been compared by varying number of sensor nodes, input data rate, and node mobility. Then, the proposed hybrid protocol has been applied on modified low-energy adaptive clustering hierarchy (MLEACH) and modified power-efficient gathering in sensor information systems (MPEGASIS). Also, the obtained results have been compared with low-energy adaptive clustering hierarchy (LEACH), power-efficient gathering in sensor information systems (PEGASIS), improved stable election protocol (ISEP), and fuzzy logic-based effective clustering (FLEC) protocols. The proposed hybrid protocol outperforms in data aggregation, dynamic routing, and in obtaining guaranteed QoS IoT WSNs holistically.

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Authors and Affiliations

  1. Institute of Advance Computing (IAC), SAGE University, Indore, India

    Neeraj Chandnani

  2. Faculty of Communication Engineering (FCE), Military College of Telecommunication Engineering (MCTE), Mhow, M.P., India

    Chandrakant N. Khairnar

  3. Military College of Telecommunication Engineering, Mhow, Research Centre, affiliated to Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh, India

    Neeraj Chandnani

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Mr. NC performed the research work under the supervision of Dr. CNK. This manuscript is written by Mr. NC under the guidance of Dr. CNK. This manuscript is reviewed and proof read by Dr. CNK.

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Correspondence to Neeraj Chandnani.

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Chandnani, N., Khairnar, C.N. Quality of Service (QoS) Enhancement of IoT WSNs Using an Efficient Hybrid Protocol for Data Aggregation and Routing. SN COMPUT. SCI. 4, 762 (2023). https://doi.org/10.1007/s42979-023-02165-6

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