Weighted Hybrid Localization Scheme for Improved Node Positioning in Wireless Sensor Networks

Kristalina, Prima; Wirawan, Wirawan; Hendrantoro, Gamantyo

doi:10.21307/ijssis-2017-623

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…In recent years, the node localization algorithm and localization scheme have been proposed by domestic and foreign scholars [12][13][14][15][16][17][18], Literature [9] presented an improved weighted centroid localization algorithm. The algorithm uses inverse distance instead of the distance and the sum of the weights as the reciprocal.…”

Section: Introductionmentioning

confidence: 99%

“…Literature [14] proposed an indoor positioning algorithm based on RFID experiment, the paper uses RFID technology to achieve the indoor positioning algorithm by getting high positioning accuracy. The literature [15] presents a weighted hybrid localization scheme for improved node positioning in wireless sensor networks, the algorithm adopt RSSI and DV-Hop technology to solve the hop dependency problem. Literature [19] presented the improved measure algorithm based on cosamp for image recovery.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved Weighted Centroid Localization Algorithm Based On Rssi Differential Correction

Ding

Xin

Chang

2014

International Journal on Smart Sensing and Intelligent Systems

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Node localization is one of the key technologies of wireless sensor networks (WSN). Due to the indoor environment requires a high positioning accuracy, an improved algorithm based on RSSI is put forward. In terms of RSSI ranging, the error correction coefficient received from self-correcting locator beacon nodes, and then had been applied to distance solving from unknown nodes to the beacon nodes. In the choice of weights, the algorithm uses inverse distance and replaces the method of determining the distance and the reciprocal of the weights, and also fixes the weight factor. On the complexity of the algorithm, select one of the most recent four from unknown node to beacon nodes,reducing the amount of data calculation. Simulation results show that the proposed algorithm positioning accuracy has been greatly improved.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved Weighted Centroid Localization Algorithm Based On Rssi Differential Correction

Ding

Xin

Chang

2014

International Journal on Smart Sensing and Intelligent Systems

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“…">IntroductionWireless sensor network has been widely used in industrial production, environmental monitoring, military reconnaissance and other fields [1]. Positioning technology of node is the basis of all kinds of application [2][3][4]. Wireless sensor network has characteristics of limited energy of the nodes, poor reliability, large scale and random distribution, the communication distance is limited and so on [5], so the positioning technology are researched more without ranging at this stage.DV-Hop [6] positioning algorithm is the range free localization algorithm which is the most extensive research and application, but the precision of this algorithm is low.…”

mentioning

confidence: 99%

Improved DV-Hop Algorithm Based on Artificial Bee Colony

Zhang¹,

Yang²,

Song³

2015

IJCA

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In order to reduce the node position error of DV-Hop algorithm in wireless sensor network, the artificial bee colony algorithm is introduced to design the DV-Hop algorithm. A new ABCDV-Hop (Artificial Bee Colony DV-Hop) algorithm is proposed in this paper. Based on the traditional DV-Hop algorithm, by using the minimum hops of nodes and position information of anchor nodes, the average distance per hop is solved by artificial bee colony algorithm to make it more close to the actual value. The simulation results show that compared with the traditional DV-Hop algorithm, the improved algorithm can effectively reduce the positioning error without increasing the node hardware overhead. Keywords: DV-Hop algorithm, artificial bee colony algorithm, the average distance per-hop IntroductionWireless sensor network has been widely used in industrial production, environmental monitoring, military reconnaissance and other fields [1]. Positioning technology of node is the basis of all kinds of application [2][3][4]. Wireless sensor network has characteristics of limited energy of the nodes, poor reliability, large scale and random distribution, the communication distance is limited and so on [5], so the positioning technology are researched more without ranging at this stage.DV-Hop [6] positioning algorithm is the range free localization algorithm which is the most extensive research and application, but the precision of this algorithm is low. Aiming at this problem, the literature [7-12] has made some improvement on it. In view of the error which caused by average distance per-hop of anchor nodes, combining the theory of artificial bee colony algorithm, an improved DV-Hop algorithm based on artificial bee colony is proposed in this paper. The simulation results show that the improved algorithm without extra hardware and communication overhead, the positioning accuracy has obvious improvement compared with the original algorithm. Error Analysis of DV-Hop AlgorithmThe basic idea of DV-Hop positioning algorithm is that distance between unknown nodes and other nodes is expressed by product of the average distance per-hop between nodes in the network and the number of hops between nodes, and then uses three sided measurement or the maximum likelihood estimation method to obtain the location information of nodes. The positioning process is as follows:(1) By flooding with controllable, each anchor node broadcasts packet which contains identification number, its coordinate position and hop to the network. Neighbour nodes record packet information ignoring packet from the same node with larger hops. Then packet's hops value plus 1 and forwarded to their neighbour nodes. By this stage, all the nodes obtain the minimum number of hops for each beacon node.(2) The anchor nodes by using the Eq. (1) to calculate the average distance of each hop.

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Reconnection of Wireless Sensor Network Partitions on Multi-Agent Platform

Devi

Manickam

2019

International Journal of Business Analytics

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In wireless sensor networks, repairing partitions is of high priority. Various methods have been proposed for detecting partitions in the networks. One approach for reconnecting a partitioned network is to repair partitions using mobile nodes. For reconnecting the partitions approaches like transmission range adjustment and message ferry methods have been proposed but these are based on the degree of connectivity with neighbors. In the proposed method, we consider a partition detection system where the base station knows the position of the sensor nodes and the base station communicates with the nodes at regular intervals. The failure of the base station to communicate with a group of sensor nodes located together is the proof that some partitions have occurred. There could be two or more partitions occurring at a time and so multiple mobile nodes are to be employed. The aim of the algorithm is to coordinate among the mobile nodes and the partitioned network and to reconnect the partition. Here the safety of nodes, security of the network and scalability are considered.

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Weighted Hybrid Localization Scheme for Improved Node Positioning in Wireless Sensor Networks

Cited by 3 publications

References 18 publications

Improved Weighted Centroid Localization Algorithm Based On Rssi Differential Correction

Improved Weighted Centroid Localization Algorithm Based On Rssi Differential Correction

Improved DV-Hop Algorithm Based on Artificial Bee Colony

Reconnection of Wireless Sensor Network Partitions on Multi-Agent Platform

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