scholarly journals A Lightweight Localization Solution for Small, Low Resources WSNs

2019 ◽  
Vol 8 (2) ◽  
pp. 26 ◽  
Author(s):  
Hong Xiong ◽  
Mihail L. Sichitiu
Keyword(s):  
Wireless Sensor Networks ◽  
High Accuracy ◽  
Energy Resources ◽  
Wireless Sensor ◽  
Distance Measurements ◽  
Range Measurement ◽  
Sensor Platforms ◽  
Localization Errors ◽  
Increasing Demand ◽  
Distributed Scheme

The increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs. In most applications, nodes need to determine their locations in a reliable manner while operating under stringent constraints in computation, communication, and energy resources. This paper offers a novel solution to bridge the gap between the high accuracy demand and low resources available for range-based localization. We propose KickLoc, a fully distributed scheme, which considers the uncertainty of the distance measurements to minimize localization errors introduced from the range measurement, and leverages information from all neighboring nodes for better position estimations. Our work is evaluated via extensive simulations, with comparisons to other well-known localization schemes, and the Cramér-Rao lower bound (CRLB). In addition, we implement and evaluate the proposed system on sensor platforms with different range measurement mechanisms. The results show that this localization solution outperforms existing methods in various scenarios, while remains lightweight and suitable for small, low resources WSNs.

scholarly journals An Energy-Aware Method for Selecting Cluster Heads in Wireless Sensor Networks

2020 ◽  
Vol 10 (21) ◽  
pp. 7886
Author(s):  
Atefeh Rahiminasab ◽  
Peyman Tirandazi ◽  
M. J. Ebadi ◽  
Ali Ahmadian ◽  
Mehdi Salimi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Cluster Head ◽  
Base Station ◽  
Energy Resources ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Dynamic Clustering ◽  
Clustering Protocol

Wireless sensor networks (WSNs) include several sensor nodes that have limited capabilities. The most critical restriction in WSNs is energy resources. Moreover, since each sensor node’s energy resources cannot be recharged or replaced, it is inevitable to propose various methods for managing the energy resources. Furthermore, this procedure increases the network lifetime. In wireless sensor networks, the cluster head has a significant impact on system global scalability, energy efficiency, and lifetime. Furthermore, the cluster head is most important in combining, aggregating, and transferring data that are received from other cluster nodes. One of the substantial challenges in a cluster-based network is to choose a suitable cluster head. In this paper, to select an appropriate cluster head, we first model this problem by using multi-factor decision-making according to the four factors, including energy, mobility, distance to centre, and the length of data queues. Then, we use the Cluster Splitting Process (CSP) algorithm and the Analytical Hierarchy Process (AHP) method in order to provide a new method to solve this problem. These four factors are examined in our proposed approach, and our method is compared with the Base station Controlled Dynamic Clustering Protocol (BCDCP) algorithm. The simulation results show the proposed method in improving the network lifetime has better performance than the base station controlled dynamic clustering protocol algorithm. In our proposed method, the energy reduction is almost 5% more than the BCDCP method, and the packet loss rate in our proposed method is almost 25% lower than in the BCDCP method.

scholarly journals Hexahedral Localization (HL): A Three-Dimensional Hexahedron Localization Based on Mobile Beacons

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Linlan Liu ◽  
Haili Zhang ◽  
Xiaotian Geng ◽  
Xin Shu
Keyword(s):  
Wireless Sensor Networks ◽  
Three Dimensional ◽  
High Accuracy ◽  
Wireless Sensor ◽  
Localization Accuracy ◽  
Localization Scheme ◽  
Future Work ◽  
Range Free ◽  
Mobile Beacons ◽  
Dimensional Range

In wireless sensor networks, localization is one of the fundamental technologies and is essential to its applications. In this paper, we propose a three-dimensional range-free localization scheme named hexahedral localization. In the scheme, the space is divided into a lot of hexahedrons. Then, all the unknown nodes are located by utilizing the perpendicular properties of the trajectory. The contribution of our scheme can be summarized into two points. First, it fills the gap of shortage of three-dimensional localization based on mobile beacons. Second, it brings in the outstanding localization accuracy. The simulation result reveals that this localization scheme has the relative high accuracy. At the end of the paper, the performance and error of our scheme are analyzed in aim of improving in the future work.

scholarly journals Low-Complexity Localization and Tracking in Hybrid Wireless Sensor Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
S. Kianoush ◽  
E. Goldoni ◽  
A. Savioli ◽  
P. Gamba
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Radio Channel ◽  
Low Complexity ◽  
Wireless Sensor ◽  
Distance Measurements ◽  
Exact Position ◽  
A New Technique ◽  
Target Path

Localization in Wireless Sensor Networks (WSNs) is an important research topic: readings come from sensors scattered in the environment, and most of applications assume that the exact position of the sensors is known. Due to power restrictions, WSN nodes are not usually equipped with a global positioning system—hence, many techniques have been developed in order to estimate the position of nodes according to some measurements over the radio channel. In this paper, we propose a new technique to track a moving target by combining distance measurements obtained from both narrowband IEEE 802.15.4 and Ultrawideband (UWB) radios, and then exploiting a novel speed-based algorithm for bounding the error. This process is applied to a real dataset collected during a measurement campaign, and its performance is compared against a Kalman filter. Results show that our algorithm is able to track target path with good accuracy and low computational impact.

scholarly journals Anchor Density Minimization for Localization in Wireless Sensor Network (WSN)

2021 ◽  
Author(s):  
Nour Zaarour ◽  
Nadir Hakem ◽  
NahiKandil
Keyword(s):  
Wireless Sensor Networks ◽  
A Priori ◽  
High Accuracy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Random String ◽  
Trade Off ◽  
Localization Accuracy ◽  
Anchor Nodes ◽  
Good Trade

In wireless sensor networks (WSN) high-accuracy localization is crucial for both of WNS management and many other numerous location-based applications. Only a subset of nodes in a WSN is deployed as anchor nodes with their locations a priori known to localize unknown sensor nodes. The accuracy of the estimated position depends on the number of anchor nodes. Obviously, increasing the number or ratio of anchors will undoubtedly increase the localization accuracy. However, it severely constrains the flexibility of WSN deployment while impacting costs and energy. This paper aims to drastically reduce anchor number or ratio of anchor in WSN deployment and ensures a good trade-off for localization accuracy. Hence, this work presents an approach to decrease the number of anchor nodes without compromising localization accuracy. Assuming a random string WSN topology, the results in terms of anchor rates and localization accuracy are presented and show significant reduction in anchor deployment rates from 32% to 2%.

Object Tracking Algorithms in Wireless Sensor Networks

2015 ◽  
pp. 287-320
Author(s):  
Maryam Sadat Mirsadeghi ◽  
Ali Mahani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Object Tracking ◽  
Target Tracking ◽  
Energy Supply ◽  
High Accuracy ◽  
Wireless Sensor ◽  
Mobile Object ◽  
Mobile Target

Mobile target tracking is one of the most important applications of wireless sensor networks (WSNs). But, the use of sensor networks for object tracking faces a number of issues in which the limited energy supply is the most important. So in target tracking problem, using methods to decrease the energy consumption as well as high accuracy and quality of tracking is the main goal. Hence, reducing the number of participant nodes in tracking phase, increasing the sleep duration of noninvolved nodes and decreasing the number of transmitted packets to the sink are the most referred methods. In this chapter the authors introduce the most suitable methods for energy efficient mobile object tracking.

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