Performance Evaluation of DV-Hop Localization Algorithm for Geographical Routing in Wireless Sensor Networks

Hadir, Abdelali; Zine-Dine, Khalid; Bakhouya, Mohamed; Kafi, Jamal El; Ouadghiri, Driss El

doi:10.1016/j.procs.2017.08.366

Cited by 17 publications

(8 citation statements)

References 22 publications

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“…In this scenario, the number of node is fixed to 25, 50, 75, 100, and the number of anchor nodes is represented by 10% of total number of nodes, which are used to estimate the position of unknown nodes. As shown in Figure 16, GPSR (GPSR-P) and DV-Hop (Hadir et al, 2017a) (GPSR-E1: GPSR with DV-Hop estimated position), eDV-Hop2 (GPSR-E2:…”

Section: Impacts Of Localisation Techniques In Geographic Routingmentioning

confidence: 99%

Novel localisation algorithms in wireless sensor networks

Hadir

Zine-Dine

Bakhouya

et al. 2019

IJWMC

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Localisation precision is one of the predominant challenges in static and mobile wireless sensor networks. It is a critical issue to be tackled when developing applications that rely on this type of networks. This paper presents three localisation techniques, named eDV-Hop1, eDV-Hop2, and eDV-Hop3, based on geometry principles. The performance of these techniques was evaluated using the network simulator (OMNeT++) and compared to the basic DV-Hop, iDV-Hop1, and iDV-Hop2. Results show that significant improvement is obtained in terms of energy consumption and localisation error according to several parameters, mainly the number of sensors, the number of anchor nodes, and the communication range of sensor nodes.

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Section: Impacts Of Localisation Techniques In Geographic Routingmentioning

confidence: 99%

Novel localisation algorithms in wireless sensor networks

Hadir

Zine-Dine

Bakhouya

et al. 2019

IJWMC

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“…Advances in Micro-Electro-Mechanical System (MEMS) technology, wireless communication, and digital electronics have led to the proliferation of WSNs [3]. With the advancement of sensor technologies, WSNs are envisioning a wide variety of promising services in many fields such as search-and-rescue operations, environmental monitoring, precision agriculture, smart transportation, military surveillance, event detection (fires, floods, and hailstorms), to name a few [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…b Random deployment of sensor nodes coverage, facilitate geographic routing algorithms based on nodes location, position aware data processing, etc. Studies have revealed that existing location finding techniques like Global Positioning System (GPS) are not suitable to be used in WSNs because of higher power consumption and reduced accuracies in indoor and urban areas [5,6,[19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…The existing traditional localization techniques in WSN utilize connectivity information, distance, and angle measurements between sensor nodes to estimate the location of nodes [23,24]. Centroid [25,26], weighted centroid [10,25], Approximate Point in Triangle (APIT) [19,27] and Distance Vector hop (DV-hop) [6,28] are few of the existing localization techniques which make use of connectivity information between nodes. Received Signal Strength (RSS) [18,[29][30][31][32], Time of Arrival (TOA) [7,33,34] and Time Difference of Arrival (TDOA) [34] based localization techniques utilize distance measurements between sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

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Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?

Bhat

Santhosh

2020

Wireless Pers Commun

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Wireless sensor networks have been considered as an emerging technology for numerous applications of cyber-physical systems. These applications often require the deployment of sensor nodes in various anisotropic fields. Localization in anisotropic fields is a challenge because of the factors such as non-line of sight communications, irregularities of terrains, and network holes. Traditional localization techniques, when applied to anisotropic or irregular fields, result in colossal location estimation errors. To improve location estimations, this paper presents a comparative analysis of available localization techniques based on taxonomy framework. A detailed discussion on the importance of localization of sensor nodes in irregular fields from the reported real-life applications is presented along with challenges faced by existing localization techniques. Further, taxonomy based on techniques adopted by localization methods to address the effects of irregular fields on location estimations is reported. Finally, using the designed taxonomy framework, a comparative analysis of different localization techniques addressing irregularities and the directions towards the development of an optimal localization technique is addressed.

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“…In addition, these devices are considered to be a key component to deploy a wireless sensor network in different environments and with respect to WSN design and requirements depending on each application field, such as military, target tracking and environmental applications [5]- [8]. Localization phase is the most required service for most IoT networks' applications including smart cities, health care monitoring, traffic management, road traffic monitoring, disaster detection, geographic routing, and so on [9]- [14] because it helps to understand and analyze detected events by sensor nodes. More precisely, when the sensor is assigned precise roles, the collected events could be then figured out and easy to understand depending on their context or scenario of application [15]; otherwise, the identified event will have no important meaning.…”

mentioning

confidence: 99%

Accurate Range-Free Localization Algorithms Based on PSO for Wireless Sensor Networks

Hadir¹,

Regragui

García

2021

IEEE Access

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Recently, localization accuracy of unknown nodes has become a critical and challenging issue for many Wireless Sensor Networks (WSNs) and Internet of Things (IoT) applications. Without associating the detected event with its precise geographic location will be surely considered meaningless for these applications. Among all localization algorithms, we observe that the DV-Hop localization algorithm is highly recommended to use in many fields of application due to its simplicity, feasibility, low cost, and no extra hardware requirements, but the localization error caused by the DV-Hop algorithm is relatively large. In this current work, based on both the DV-Hop algorithm and the Particle Swarm Optimization algorithm, we proposed four new localization algorithms to overcome the shortcomings of low accuracy that the basic DV-Hop based algorithms produce. The simulation results showed that the proposed localization algorithms can achieve a better localization performance in terms of accuracy in comparison with other existing algorithms such as basic DV-Hop, MDV-Hop and DV-HopPSO under different random network topologies. We also observed that a significant localization accuracy is achieved by the proposed algorithm HWDV-HopPSO.

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Performance Evaluation of DV-Hop Localization Algorithm for Geographical Routing in Wireless Sensor Networks

Cited by 17 publications

References 22 publications

Novel localisation algorithms in wireless sensor networks

Novel localisation algorithms in wireless sensor networks

Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?

Accurate Range-Free Localization Algorithms Based on PSO for Wireless Sensor Networks

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