TY  - EJOU
AU  - Dutta, Ashit Kumar 
AU  - Srinivasan, S. 
AU  - Rao, Bobbili Prasada 
AU  - Hemalatha, B. 
AU  - Pustokhina, Irina V. 
AU  - Pustokhin, Denis A. 
AU  - Joshi, Gyanendra Prasad 

TI  - Design of QoS Aware Routing Protocol for IoT Assisted Clustered WSN
T2  - Computers, Materials \& Continua

PY  - 2022
VL  - 71
IS  - 2
SN  - 1546-2226

AB  - In current days, the domain of Internet of Things (IoT) and Wireless Sensor Networks (WSN) are combined for enhancing the sensor related data transmission in the forthcoming networking applications. Clustering and routing techniques are treated as the effective methods highly used to attain reduced energy consumption and lengthen the lifetime of the WSN assisted IoT networks. In this view, this paper presents an Ensemble of Metaheuristic Optimization based QoS aware Clustering with Multihop Routing (EMO-QoSCMR) Protocol for IoT assisted WSN. The proposed EMO-QoSCMR protocol aims to achieve QoS parameters such as energy, throughput, delay, and lifetime. The proposed model involves two stage processes namely clustering and routing. Firstly, the EMO-QoSCMR protocol involves cross-entropy rain optimization algorithm based clustering (CEROAC) technique to select an optimal set of cluster heads (CHs) and construct clusters. Besides, oppositional chaos game optimization based routing (OCGOR) technique is employed for the optimal set of routes in the IoT assisted WSN. The proposed model derives a fitness function based on the parameters involved in the IoT nodes such as residual energy, distance to sink node, etc. The proposed EMO-QoSCMR technique has resulted to an enhanced NAN of 64 nodes whereas the LEACH, PSO-ECHS, E-OEERP, and iCSHS methods have resulted in a lesser NAN of 2, 10, 42, and 51 rounds. The performance of the presented protocol has been evaluated interms of energy efficiency and network lifetime.
KW  - Internet of things; wireless sensor networks; clustering; routing; metaheuristics; cluster head selection; QoS parameters

DO  - 10.32604/cmc.2022.023657