An Improved DV-HOP Localization Algorithm Based on Beacon Nodes at Borderland of Wireless Sensor Networks

Xie, Tao; Guang-Hui, Zou; Yi, You; Wang, Ping

doi:10.1007/978-3-642-27323-0_19

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…However, the distances estimated based on the DV-Hop algorithm tend to be imprecise due to the anchor's hop size error, which in turn, reduces the localisation accuracy [22]. Consequently, many attempts have been made to enhance the DV-Hop algorithm [23][24][25][26][27][28][29]. In [29], an improved DV-Hop-based localisation scheme (PSO-DV-Hop) is proposed to optimise the energy consumption by curtailing the communication among nodes.…”

Section: Related Workmentioning

confidence: 99%

Wireless sensor nodes localiser based on sine–cosine algorithm

Hamouda

Abohamama

2020

IET wirel. sens. syst.

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Wireless sensor networks are an emerging technology deployed in many fields. Knowing the positions of sensor nodes is critical for many applications to perform their tasks. Hence, accurate node localisation in wireless sensor networks is an essential issue. The node localisation problem can be formulated as a multidimensional optimisation problem. In this study, the authors propose a node localisation scheme based on a sine-cosine algorithm. The proposed scheme addresses the flip ambiguity problem, which can badly affect the localisation accuracy of the entire network. The efficacy of the proposed scheme is evaluated through intensive experimentation under different scenarios. The obtained results show the superiority of the proposed scheme against other optimisation algorithms in terms of the localisation accuracy, the number of localised nodes, and the computation time.

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Section: Related Workmentioning

confidence: 99%

Wireless sensor nodes localiser based on sine–cosine algorithm

Hamouda

Abohamama

2020

IET wirel. sens. syst.

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“…It is not feasible to recognize the exact location of each unknown node within the large scale UWSNs [11]. Thus, in order to estimate the position of each unknown node present within a specific area instead of recognizing the exact location, the efficient Area Localization Scheme (ALS) is proposed [12].…”

Section: Area Localization Scheme (Als)mentioning

confidence: 99%

Advancement in range based scheme for node localization of underwater acoustic networks

Khajuria

Kaur

2018

IJET

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The underwater acoustic network is the type of network which is deployed under the deep sea or ocean to gather underwater information. The sensor node position estimation is a major issue of the underwater acoustic network. The process of estimating node position is called node localization. In the existing RSSI based approach for the node localization has a high delay which reduces its efficiency. The technique needs to be designed which localize a number of nodes in less amount of time. This research is based on the advancement of the range-based scheme for node localization. In the proposed scheme mobile beacons are responsible for the node localization. The beacon nodes send beacon message in the network and sensor nodes respond back with a reply message. When two beacons receive the reply of a sensor node that is considered as a localized node. The sensor nodes which are already localized will not respond back to the beacon messages which reduce delay in the network for node localization. The simulation of proposed modal is performed in MATLAB and it shows that proposed scheme performs well in terms of a number of nodes localized.

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“…There are various improvements on DV-Hop algorithm is reported in literature [23][24][25][26][27][28][29][30]. Here, our modified DV-Hop algorithm at is comprised of four steps.…”

Section: B Proposed Algorithmmentioning

confidence: 99%

An Improved Localization Algorithm for Error Minimization in Wireless Sensor Networks

Singh¹,

Sharma²

2017

IJET

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Abstract-Wireless sensor networks (WSNs) are comprised of huge number of resource constrained petite devices recognized as sensor nodes. Data collection and forwarding is an important function of WSN. In the majority of applications, the location of the data is of much significance. Such kind of info can be acquired by using localization schemes. So, node localization is extremely essential to determine the location of node by using localization algorithms. Hence, localization becomes a hot research issue in WSNs. Many localization algorithms have been projected to precisely locate nodes in WSNs. These algorithms are broadly classified into range based and range free categories. Range based methods use exact computation measure (distance or time) among nodes in the network. So range based methods needs some additional hardware for such computation while range free methods don't require any specific hardware. Range free methods use connectivity information between nodes in network. So range free methods are considered cost effective alternatives to range based methods. In this paper, we propose a novel range free localization algorithm for WSN on the basis of swarm intelligence. We perform the comparative analysis of proposed algorithm with DV-Hop algorithms on the basis of localization error and accuracy. Simulation results shows that proposed algorithm outperform the DV-Hop algorithm. In this paper, we proposed a modified algorithm for localization on the basis of distance vector hop algorithm. The proposed method reduces the localization error and improves accuracy without raising the cost of the sensor node. Here the presented work contributes three most important things to localization problem. First, we propose a new modified algorithm that is easy to use and cost effective. Second, the proposed algorithm reduces the localization error as compared to DV-Hop. Third, we explore the impact of anchors and communication range on performance of new modified algorithm. The remaining part of paper is planned as; section 2 focused on a literature review. Section 3 focused on the DV Hop localization algorithms. The proposed algorithm is illustrated in section 4. Section 5 focused on the result and discussion of performance of algorithms. Finally, section 6 concludes the work. Keyword

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An Improved DV-HOP Localization Algorithm Based on Beacon Nodes at Borderland of Wireless Sensor Networks

Cited by 9 publications

References 9 publications

Wireless sensor nodes localiser based on sine–cosine algorithm

Wireless sensor nodes localiser based on sine–cosine algorithm

Advancement in range based scheme for node localization of underwater acoustic networks

An Improved Localization Algorithm for Error Minimization in Wireless Sensor Networks

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