Journal ArticleDOI
Multi-objective Sunflower Based Grey Wolf Optimization Algorithm for Multipath Routing in IoT Network
Reena P. Pingale,S. N. Shinde +1 more
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TLDR
Sunflower based grey wolf optimization (SFG) algorithm for improving the network lifetime is proposed in this article, which selects the best path from the multipath available for routing, based on Context awareness, Network lifetime, Residual Energy, Trust, and Delay.Abstract:
The emerging needs of innovative services in different areas led to the development of advanced intelligent systems using the heterogeneous technologies, devised by Internet of Things (IoT). IoT focuses on integrating the networks to facilitate smooth services to the humans. The interface between mobility patterns and the routing protocols contributes significantly to alter the performance of network. This paper proposes routing protocol based on Sunflower based grey wolf optimization (SFG) algorithm for improving the network lifetime. The first step is the simulation of IoT and then, the multipath routing is initiated in the IoT network. The SFG algorithm selects the best path from the multipath available for routing, based on Context awareness, Network lifetime, Residual Energy, Trust, and Delay. Finally, the multipath routing takes place in the IoT network through optimal routing path selected using the proposed SFG algorithm. The proposed SFG algorithm is designed by integrating sun flower optimization (SFO) and the grey wolf optimizer (GWO) such that the optimal routes are selected. The proposed SFG outperformed other methods with minimal delay of 0.779 s, maximal energy of 0.203 J, maximal network lifetime of 98.039%, and maximal throughput of 47.368%, respectively.read more
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Journal ArticleDOI
QoS-Aware Service Discovery and Selection Management for Cloud-Edge Computing Using a Hybrid Meta-Heuristic Algorithm in IoT
Ronghan Wang,Junwei Lu +1 more
TL;DR: In this article, a QoS-aware cloud-edge service discovery and selection model in IoT environment is presented, which is evaluated based on a hybrid multi-objective meta-heuristic algorithm based on Grey Wolf Optimizer and a Genetic Algorithm (GWO-GA) for evaluating QoS factors as nonfunctional properties.
Journal ArticleDOI
Holistic survey on energy aware routing techniques for IoT applications
TL;DR: In this paper , a survey of the current research on energy-aware routing protocols and algorithms that require less energy consumption during data transmission, issues and challenges in routing, and future research direction in IoT is presented.
Journal ArticleDOI
Recent advances in multi-objective grey wolf optimizer, its versions and applications
Sharif Naser Makhadmeh,Osama Ahmad Alomari,Seyedali Mirjalili,Mohammed Azmi Al-Betar,A. Elnagar +4 more
TL;DR: A comprehensive review of the multi-objective grey wolf optimizer (MOGWO) is provided and a critical analysis is provided to show the shortcomings and limitations of using the basic version of MOGwO followed by several future directions.
Journal ArticleDOI
Holistic survey on energy aware routing techniques for IoT applications
R. PoornimaM.,J. Shreyas +1 more
TL;DR: In this article , a survey of the current research on energy-aware routing protocols and algorithms that require less energy consumption during data transmission, issues and challenges in routing, and future research direction in IoT is presented.
References
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Journal ArticleDOI
Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
Proceedings ArticleDOI
AODV routing protocol implementation design
TL;DR: The event triggers required for AODV operation, the design possibilities and the decisions for the ad hoc on-demand distance vector routing protocol implementation, A ODV-UCSB are described.
Proceedings ArticleDOI
ReInForM: reliable information forwarding using multiple paths in sensor networks
TL;DR: This paper describes a protocol called RelnForM to deliver packets at desired reliability at a proportionate communication cost, and shows that for uniform unit disk graphs, the number of edge-disjoint paths between nodes is equal to the average node degree with very high probability.
Journal ArticleDOI
CAR: Context-Aware Adaptive Routing for Delay-Tolerant Mobile Networks
Mirco Musolesi,Cecilia Mascolo +1 more
TL;DR: This paper presents the design, implementation and evaluation of the context-aware adaptive routing (CAR) protocol for delay tolerant unicast communication in intermittently connected mobile ad hoc networks and discusses the implementation of CAR over an opportunistic networking framework.
Journal ArticleDOI
A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates
TL;DR: The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems that employs terms as root velocity and pollination providing robustness.