Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment

AlHajri, Mohamed I.; Goian, A.; Darweesh, Muna; AlMemari, R.; Shubair, Raed M.; Weruaga, Luis; Kulaib, A. R.

doi:10.1109/ictrc.2015.7156466

Cited by 33 publications

(23 citation statements)

References 9 publications

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“…Usually in WSN, this technique uses three non-collinear anchor nodes to send/receive signals to the node (target node) which resides inside the triangular area formed by the anchor nodes. The receiving signals at the anchor nodes incident with certain angles can be measured by an array of antennas or an electro-magnetic compass [32]. The collected angular information can be used to calculate the distances between the target node and the anchor nodes.…”

Section: ) Tringulationmentioning

confidence: 99%

BDALT: Bilateration and Double Anchor-based Localization Technique for Wireless Sensor Networks using Angle of Arrival (AoA) and Received Signal Strength (RSS) -A Hybrid Technique

Kumar¹,

Prasad²

2019

IJEAT

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Anchor based localization techniques are better and cost free alternate solutions against GPS based localization techniques in Wireless Sensor Networks (WSN) applications. Anchor based localization techniques using Zigbee technology in WSN have attracted highly in the recent years. As the technology is growing, customers can easily buy the Zigbee technology based beacon nodes at reasonable price. Anchor based wireless sensor networks are used in the localization process because of their advantages in location tracking applications. Many localization systems depend only on RSS and that is not highly reliable, and not accurate. However, the accuracy and the reliability of the network is rather important when it is used in wireless environments. In this paper, a hybrid technique is proposed, which uses not only the RSS as distance estimation parameter, but also the AoA as another angular estimation parameter to improve the localization accuracy. The proposed localization technique uses both the dynamic vectors based localization method, and the bilateration based localization methods to get the target node’s coordinates with good accuracy. The main objective of this research work is to get the accurate location information of the target nodes by using double anchor nodes and simple mathematical computations. The proposed method is simulated in MATLAB and its performance is better than the existing localization techniques.

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Section: ) Tringulationmentioning

confidence: 99%

BDALT: Bilateration and Double Anchor-based Localization Technique for Wireless Sensor Networks using Angle of Arrival (AoA) and Received Signal Strength (RSS) -A Hybrid Technique

Kumar¹,

Prasad²

2019

IJEAT

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“…This algorithm has difference inter-cluster topology compared to LEACH algorithm. AlHajri et al [28] proposed hybrid methods in which they used the hybrid of RSS and DOA algorithm to reduce the energy consumption in the network.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Clustering Approach for Increasing the Lifetime of Wireless Sensor Networks Based on Bayesian Network

Orang¹,

Hajimohammadi²

2018

ujcmj

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Wireless sensor networks (WSNs) consist of a number of nodes and one or two base stations (BS). Each node has limited energy. Therefore, the energy each node is very important parameter in network since accessing the nodes and recharging them are difficult or in some cases, are impossible. Thus, the main purpose of this article is to increase the lifetime of the wireless sensor networks by finding the optimal route to send the data to the base station in order to save the energy of each node. In this paper, a hybrid clustering method called Hybrid based on Bayesian Networks (HBN) is proposed based on Bayesian network which considers the radio range of each nodes. In this algorithm, four different parameters are considered including residual energy, the distance to the base station, distance to the neighbor nodes and the radio range of the sensor nodes. According to the simulation results, this algorithm enables an increase in network lifetime in comparison to other similar algorithms.

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“…The range-based methods such as the received signal strength indicator (RSSI), time difference of arrival (TDOA) and time of arrival (TOA) use hardware to measure the distance information. These kinds of method have a higher accuracy, but they increase the network cost and energy consumption [ 8 ]. The range-free methods use the connectivity of the network to locate the unknown nodes.…”

Section: Related Workmentioning

confidence: 99%

A Localization Method for Underwater Wireless Sensor Networks Based on Mobility Prediction and Particle Swarm Optimization Algorithms

Zhang

Liang

Jiang

et al. 2016

Sensors

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Due to their special environment, Underwater Wireless Sensor Networks (UWSNs) are usually deployed over a large sea area and the nodes are usually floating. This results in a lower beacon node distribution density, a longer time for localization, and more energy consumption. Currently most of the localization algorithms in this field do not pay enough consideration on the mobility of the nodes. In this paper, by analyzing the mobility patterns of water near the seashore, a localization method for UWSNs based on a Mobility Prediction and a Particle Swarm Optimization algorithm (MP-PSO) is proposed. In this method, the range-based PSO algorithm is used to locate the beacon nodes, and their velocities can be calculated. The velocity of an unknown node is calculated by using the spatial correlation of underwater object’s mobility, and then their locations can be predicted. The range-based PSO algorithm may cause considerable energy consumption and its computation complexity is a little bit high, nevertheless the number of beacon nodes is relatively smaller, so the calculation for the large number of unknown nodes is succinct, and this method can obviously decrease the energy consumption and time cost of localizing these mobile nodes. The simulation results indicate that this method has higher localization accuracy and better localization coverage rate compared with some other widely used localization methods in this field.

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Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment

Cited by 33 publications

References 9 publications

BDALT: Bilateration and Double Anchor-based Localization Technique for Wireless Sensor Networks using Angle of Arrival (AoA) and Received Signal Strength (RSS) -A Hybrid Technique

BDALT: Bilateration and Double Anchor-based Localization Technique for Wireless Sensor Networks using Angle of Arrival (AoA) and Received Signal Strength (RSS) -A Hybrid Technique

A Hybrid Clustering Approach for Increasing the Lifetime of Wireless Sensor Networks Based on Bayesian Network

A Localization Method for Underwater Wireless Sensor Networks Based on Mobility Prediction and Particle Swarm Optimization Algorithms

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