Journal ArticleDOI
An effective Bat algorithm for node localization in distributed wireless sensor network
Miloud Mihoubi,Miloud Mihoubi,Abdellatif Rahmoun,Pascal Lorenz,Noureddine Lasla +4 more
- Vol. 1, Iss: 1
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TLDR
An effective Bat algorithm based on the adaptation of velocity of the Bats by hybridization, with Doppler effect for improving the performance, aptly termed Dopeffbat is proposed, which computes (through evolution) the nodes' positions iteratively through the Euclidian distance as fitness.About:
The article was published on 2018-01-01. It has received 29 citations till now. The article focuses on the topics: Node (networking) & Wireless sensor network.read more
Citations
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Journal ArticleDOI
Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm
Mohammad Ehteram,Faridah Othman,Zaher Mundher Yaseen,Haitham Abdulmohsin Afan,Mohammed Falah Allawi,Marlinda Abdul Malek,Ali Najah Ahmed,Shamsuddin Shahid,Vijay P. Singh,Ahmed El-Shafie +9 more
TL;DR: A hybrid of the bat algorithm and the particle swarm optimization (PSO) algorithm, i.e., the hybrid bat-swarm algorithm (HBSA), was developed for the optimal determination of these four parameters of the Muskingum model to achieve excellent flood routing accuracy.
Journal ArticleDOI
Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues
TL;DR: In this article, the authors classify and discuss various state-of-the-art techniques proposed for IoT node localization in detail, including different approaches such as centralized, distributed, iterative, ranged based, range free, device-based, device free and their subtypes.
Journal ArticleDOI
Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge
Soumya J Bhat,K. V. Santhosh +1 more
TL;DR: A comparative analysis of available localization techniques based on taxonomy framework and the directions towards the development of an optimal localization technique is addressed to improve location estimations.
Journal ArticleDOI
Moth Flame Optimization Algorithm Range-Based for Node Localization Challenge in Decentralized Wireless Sensor Network
TL;DR: Compared to other swarm intelligence techniques such as Bat algorithm (BAT), particle swarm optimization (PSO), Differential Evolution (DE) and Flower Pollination Algorithm (FPA), MFOA is shown to perform much better in node localization task.
Journal ArticleDOI
A Physics-based Metaheuristic Algorithm Based on Doppler Effect Phenomenon and Mean Euclidian Distance Threshold
TL;DR: A new physics-based Metaheuristic (MH) optimizer is developed that combines the mathematical formulation of DE with some idealized rules to update the observer velocity existing in the Doppler equation and simultaneously utilizes the DE equation and MEDT mechanism.
References
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Journal ArticleDOI
Wireless sensor network survey
TL;DR: This survey presents a comprehensive review of the recent literature since the publication of a survey on sensor networks, and gives an overview of several new applications and then reviews the literature on various aspects of WSNs.
Journal ArticleDOI
Locating the nodes: cooperative localization in wireless sensor networks
Neal Patwari,Joshua N. Ash,Spyros Kyperountas,Alfred O. Hero,Randolph L. Moses,Neiyer S. Correal,Neiyer S. Correal +6 more
TL;DR: Using the models, the authors have shown the calculation of a Cramer-Rao bound (CRB) on the location estimation precision possible for a given set of measurements in wireless sensor networks.
Wireless Sensor Network -A Survey
Nirvika Chouhan,Rekha Jain +1 more
TL;DR: In this paper, various issues are discussed that actually put the limitations in the well working and the life time of the network.
Journal ArticleDOI
Wireless sensor network localization techniques
TL;DR: An overview of the measurement techniques in sensor network localization and the one-hop localization algorithms based on these measurements are provided and a detailed investigation on multi-hop connectivity-based and distance-based localization algorithms are presented.
Proceedings ArticleDOI
Convex position estimation in wireless sensor networks
TL;DR: A method for estimating unknown node positions in a sensor network based exclusively on connectivity-induced constraints is described, and a method for placing rectangular bounds around the possible positions for all unknown nodes in the network is given.
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