| Title | Energy-efficient routing paradigm for resource-constrained Internet of Things-based cognitive smart city |
|---|---|
| ID_Doc | 37260 |
| Authors | Verma, S |
| Title | Energy-efficient routing paradigm for resource-constrained Internet of Things-based cognitive smart city |
| Year | 2022 |
| Published | Expert Systems, 39.0, 5 |
| Abstract | The exponential growth in the smart cities and the massive deployment of wireless sensor network-based Internet of Things (IoT) has resulted in generating the humongous data, which needs to be orchestrated. Further, it is observed that the resource-constrained IoT devices act as stumbling block in the successful realization of cognitive smart cities. Hence, there is a high need to manage the data transmission from massive IoT devices and also to enhance the productivity of such devices. To address this issue, in this article, we present energy-efficient routing paradigm for resource-constrained IoT-based cognitive smart city (EI-CSC). We adapt Sooty tern optimization algorithm (STOA) due to its faster convergence and high 'exploration and exploitation' capabilities to perform energy efficient cluster-based routing. We focus primarily on rendering the optimized solution to the cluster head selection problem through STOA. The outcomes of simulation analysis of EI-CSC promises enhanced performance in the context of stability period and network lifetime by 83.4% and 107.7%, 'respectively' as compared to recently proposed 'genetic algorithm and PSO based hybrid clustering algorithm'. |
Similar Articles
| ID | Score | Article |
|---|---|---|
43808
|
Praveen, KV; Prathap, PMJ Energy Efficient Congestion Aware Resource Allocation and Routing Protocol for IoT Network using Hybrid Optimization Techniques(2021)Wireless Personal Communications, 117, 2 | |
| 36859
|
Singh, S; Garg, D; Manju; Malik, A A novel cluster head selection algorithm based IoT enabled heterogeneous WSNs distributed architecture for smart city(2023) | |
| 40968
|
Chithaluru, P; Al-Turjman, F; Kumar, M; Stephan, T Energy-balanced neuro-fuzzy dynamic clustering scheme for green & sustainable IoT based smart cities(2023) | |
| 39037
|
Venkatesan, VK; Izonin, I; Periyasamy, J; Indirajithu, A; Batyuk, A; Ramakrishna, MT Incorporation of Energy Efficient Computational Strategies for Clustering and Routing in Heterogeneous Networks of Smart City(2022)Energies, 15, 20 | |
| 37367
|
Roshan, R; Rishi, OP Design and Development of Multi-Objective Hybrid Clustering Framework for Smart City in India Using Internet of Things(2023)Journal Of Information & Knowledge Management, 22.0, 1 | |
| 42571
|
Alazab, M; Lakshmanna, K; Reddy, GT; Pham, QV; Maddikunta, PKR Multi-objective cluster head selection using fitness averaged rider optimization algorithm for IoT networks in smart cities(2021) | |
| 41453
|
Jeevanantham, S; Venkatesan, C; Rebekka, B Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN(2024) | |
| 41184
|
Choudhury, S; Luhach, AK; Alnumay, W; Pradhan, B; Roy, DS A neuro evolutionary scheme for improved IoT energy efficiency in smart cities(2022) | |
| 38993
|
Selvi, MS; Kumar, CR; Rani, SJ A cluster-based routing in WSN for smart city applications using neural networks(2023)Journal Of Intelligent & Fuzzy Systems, 44, 6 | |
| 41467
|
Hosseinzadeh, M; Hemmati, A; Rahmani, AM Clustering for smart cities in the internet of things: a review(2022)Cluster Computing-The Journal Of Networks Software Tools And Applications, 25, 6 |