Proceedings ArticleDOI
Grey wolf optimization-based energy-efficient routing protocol for heterogeneous wireless sensor networks
Nadia Al-Aboody,Hamed S. Al-Raweshidy +1 more
- pp 101-107
TLDR
A three-level hybrid clustering routing protocol algorithm (MLHP) based on the Grey Wolf Optimizer (GWO) for wireless sensor networks is proposed in this paper and showed improved performance in terms of longer network lifetime, longer stability period, and more residual energy when compared with the other algorithms.Abstract:
A three-level hybrid clustering routing protocol algorithm (MLHP) based on the Grey Wolf Optimizer (GWO) for wireless sensor networks is proposed in this paper. A centralized selection is proposed for Level One, in which the base station (BS) plays a great role in selecting cluster heads. In Level Two, a GWO routing for data transfer is proposed, were nodes select the best route to the BS to save more energy. And, a distributed clustering based on a cost function is proposed for Level Three. The algorithm was evaluated through tests of a network's energy efficiency, lifetime, and stability period. Comparisons were made with the best-known routing protocols to measure the performance of the proposed algorithm. The results showed improved performance of the proposed algorithm in terms of longer network lifetime, longer stability period, and more residual energy when compared with the other algorithms.read more
Citations
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Journal ArticleDOI
Grey wolf optimizer: a review of recent variants and applications
TL;DR: In this review paper, several research publications using GWO have been overviewed and summarized and the main foundation of GWO is provided, which suggests several possible future directions that can be further investigated.
Journal ArticleDOI
Multi-strategy ensemble grey wolf optimizer and its application to feature selection
TL;DR: The experimental results show that the proposed MEGWO, which integrate multiple improved search strategies, outperforms other variants of GWO and other algorithms in terms of accuracy and convergence speed.
Journal ArticleDOI
A multi objective Tabu particle swarm optimization for effective cluster head selection in WSN
K. Vijayalakshmi,P. Anandan +1 more
TL;DR: Results show the efficiency of the proposed Tabu PSO by enhancing the number of clusters formed, percentage of nodes alive and shows the reduction of average packet loss rate and average end to end delay.
Journal ArticleDOI
Energy-Efficient Routing in WSN: A Centralized Cluster-Based Approach via Grey Wolf Optimizer
TL;DR: A new clustering algorithm that selects CHs using the grey wolf optimizer (GWO) is presented and it is shown that the proposed protocol improves network lifetime in comparison to a number of recent similar protocols.
Journal ArticleDOI
I-AREOR: An energy-balanced clustering protocol for implementing green IoT in smart cities
TL;DR: An Improved-Adaptive Ranking based Energy-efficient Opportunistic Routing protocol (I-AREOR) is proposed, based on regional density, relative distance, and residual energy of the sensor nodes, for improving sensor based communication in future smart cities.
References
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Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI
An application-specific protocol architecture for wireless microsensor networks
TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
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.
SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks
TL;DR: This work proposes SEP, a heterogeneous-aware protocol to prolong the time interval before the death of the first node (the authors refer to as stability period), which is crucial for many applications where the feedback from the sensor network must be reliable.
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