An Alternative Node Deployment Scheme for WSNs

Izadi, Davood; Abawajy, Jemal; Ghanavati, Sara

doi:10.1109/jsen.2014.2351405

Cited by 44 publications

(19 citation statements)

References 22 publications

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“…Nonetheless for more practical use of the proposed system, we will research a backup plan or predefined action to cope with such situations. For example, a selfhealing algorithm for mobile wireless sensor network will be investigated [42], [43], [44].…”

Section: Discussionmentioning

confidence: 99%

A directional antenna based leader–follower relay system for end-to-end robot communications

Min

Parasuraman

Lee

et al. 2018

Robotics and Autonomous Systems

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In this paper, we present a directional antenna-based leader-follower robotic relay system capable of building end-toend communication in complicated and dynamically changing environments. The proposed system consists of multiple networked robots -one is a mobile end node and the others are leaders or followers acting as radio relays. Every follower uses directional antennas to relay a communication radio and to estimate the location of the leader robot as a sensory device. For bearing estimation, we employ a weight centroid algorithm (WCA) and present a theoretical analysis of the use of WCA for this work. Using a robotic convoy method, we develop online, distributed control strategies that satisfy the scalability requirements of robotic network systems and enable cooperating robots to work independently. The performance of the proposed system is evaluated by conducting extensive real-world experiments that successfully build actual communication between two end nodes.

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Section: Discussionmentioning

confidence: 99%

A directional antenna based leader–follower relay system for end-to-end robot communications

Min

Parasuraman

Lee

et al. 2018

Robotics and Autonomous Systems

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“…To solve the sensing coverage problem in WSN, Izadi et al (2015) propose a fuzzy-based self-healing coverage scheme for randomly deployed wireless sensor nodes. The proposed method determines the uncovered sensing areas and chooses the best sensor nodes to be moved to minimise the coverage hole.…”

Section: Related Workmentioning

confidence: 99%

Wireless sensor network node deployment based on multi-objective immune algorithm

2018

IJIPT

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Wireless sensor network (WSN) is made up of a large number of low-cost wireless sensor nodes, which can collect all types of data in its lifetime. Node deployment of WSN is a NP complete problem, and it can significantly influence the network coverage and energy consumption in WSN. In this paper, we try to exploit multi-objective immune algorithm to solve the node deployment problem in WSN. The proposed node deployment algorithm aims to maximise the degree of network coverage and minimise the energy consumption. In the proposed multi-objective immune algorithm, each antibody refers to a candidate solution in node deployment process, and the antibodies are randomly initialised with a specific range. In addition, we design a fitness function by two ranking modes. Finally, experiments are conducted to test the performance of the proposed algorithm. Particularly, we use some typical performance metric in this experiment, such as coverage degree, energy consumption, and maximum moved distance. Experimental results demonstrate that the proposed can both enhance the network coverage degree and reduce the energy consumption by minimising the moved distance.

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“…Izadi et al. [33] proposed a fuzzy-based self-healing coverage scheme for randomly deployed mobile sensor nodes in ST-WSNs. The proposed scheme determined the uncovered sensing areas and then selected the best mobile nodes to be moved to minimize the coverage hole.…”

Section: Introductionmentioning

confidence: 99%

“…(iii) We address the RNPP through MO metaheuristics, providing a trade-off between the conflicting objectives, not as with heuristics, which is useful in the decision-making of network designers. As introduced before, many heuristics were proposed for addressing the ST-RNPP [24,25,27,28,29,31,32,33,35]. However, only a few papers considered metaheuristics to this end [36,37,39,41,42].…”

Section: Introductionmentioning

confidence: 99%

Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks

Lanza-Gutiérrez

Caballé

Gómez–Pulido

et al. 2019

Sensors

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During the last decade, Wireless sensor networks (WSNs) have attracted interest due to the excellent monitoring capabilities offered. However, WSNs present shortcomings, such as energy cost and reliability, which hinder real-world applications. As a solution, Relay Node (RN) deployment strategies could help to improve WSNs. This fact is known as the Relay Node Placement Problem (RNPP), which is an NP-hard optimization problem. This paper proposes to address two Multi-Objective (MO) formulations of the RNPP. The first one optimizes average energy cost and average sensitivity area. The second one optimizes the two previous objectives and network reliability. The authors propose to solve the two problems through a wide range of MO metaheuristics from the three main groups in the field: evolutionary algorithms, swarm intelligence algorithms, and trajectory algorithms. These algorithms are the Non-dominated Sorting Genetic Algorithm II (NSGA-II), Strength Pareto Evolutionary Algorithm 2 (SPEA2), Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), Multi-Objective Artificial Bee Colony (MO-ABC), Multi-Objective Firefly Algorithm (MO-FA), Multi-Objective Gravitational Search Algorithm (MO-GSA), and Multi-Objective Variable Neighbourhood Search Algorithm (MO-VNS). The results obtained are statistically analysed to determine if there is a robust metaheuristic to be recommended for solving the RNPP independently of the number of objectives.

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An Alternative Node Deployment Scheme for WSNs

Cited by 44 publications

References 22 publications

A directional antenna based leader–follower relay system for end-to-end robot communications

A directional antenna based leader–follower relay system for end-to-end robot communications

Wireless sensor network node deployment based on multi-objective immune algorithm

Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks

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