dv-hop localization algorithm optimized for the Coot algorithm is proposed to address the issue of significant positioning errors in the non distance measurement positioning process of wireless sensor networks. First,...
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In wireless sensor networks, dv-hop localization algorithm which uses average hop distance to represent the actual distance is a commonly used range-free localization technology. But this algorithm has great error and...
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ISBN:
(纸本)9781728133232
In wireless sensor networks, dv-hop localization algorithm which uses average hop distance to represent the actual distance is a commonly used range-free localization technology. But this algorithm has great error and node energy consumption in practical applications. Evolutionary algorithm has a branch which is differential evolution algorithm. DE algorithm has been widely used in a large number of fields, as a result of DE algorithm has simple structure and can combine with other methods easily. To solve the disadvantages of dv-hopalgorithm, an advanced dv-hop localization algorithm on basic of differential evolution in this paper has been proposed. To reduce the hop distance error, the improved algorithm advances weighted process in the second step of dv-hopalgorithm by leading the average hop distance error correction value. The differential evolution algorithm is used to optimize the positioning result of the unknown node in the third step of dv-hopalgorithm. From the advanced localizationalgorithm's simulation, the positioning accuracy has improved.
Oriented cuckoo search algorithm（OCS） is a newly proposed variant of cuckoo search algorithm,to avoid the premature convergence,weighted-based oriented cuckoo search（WOCS） is proposed which is a combination of OCS...
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ISBN:
(纸本)9781538629185
Oriented cuckoo search algorithm（OCS） is a newly proposed variant of cuckoo search algorithm,to avoid the premature convergence,weighted-based oriented cuckoo search（WOCS） is proposed which is a combination of OCS and the standard *** achieves a balance between exploration and *** test the performance,WOCS is incorporated into the methodology of dv-hop localization algorithm for node localization in wireless sensor *** simulation results show that dv-hoplocalization with WOCS achieves best positioning accuracy when compared with other two algorithms.
Many applications of wireless sensor networks rely on the precise position of sensor nodes, so node localization is one of the most important issues in wireless sensor networks. Due to its simplicity, dv-hop has drawn...
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Many applications of wireless sensor networks rely on the precise position of sensor nodes, so node localization is one of the most important issues in wireless sensor networks. Due to its simplicity, dv-hop has drawn much attention among all the node localizationalgorithms. However, the dv-hop localization algorithm uses the product of the hop count and the average hop distance to estimate the distance and uses the maximum likelihood estimation method to locate, which lead to a large error. Therefore, we use dv-hop as a basis for positioning algorithm and improve its accuracy from two aspects. On the one hand, we introduce reference hops to correct the average hop distance between beacon nodes. On the other hand, we introduce the cycloid equation to calculate the distance from the unknown node to the beacon node. The MATLAB simulation results show that the improved algorithm has a lower error rate than the traditional dv-hopalgorithm and can be better applied to the actual scene.
The purpose of sensor network node localization is to obtain the information about the absolute or relative locations of various kinds of sensor nodes on the plane or in space. In many sensor network application field...
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The purpose of sensor network node localization is to obtain the information about the absolute or relative locations of various kinds of sensor nodes on the plane or in space. In many sensor network application fields, one important issue that users are concerned about is: in what location or area an inappropriate use or detection situation occurs. Sensor network node technology provides vital node location information for a whole network system's obtaining a large amount of detailed and reliable monitoring information. The obtaining of node location information will directly influence the effectiveness of the whole network system, so study on the node localization mechanism and algorithm involved in a wireless sensor network is the key to realizing node localization technology. In this paper, based on wireless sensor network research, a range-free localization mechanism based on dv-hop localization algorithm is analyzed, with the optimized processing of this algorithm preliminarily realized, with an intuitive understanding of the relationship between nodes and localization errors realized through MATLAB simulation experiment.
In this paper, we will analyze the dv - hoplocalizationalgorithm and explain the causes of *** order to improve the accuracy,in this paper, an improved algorithm is *** swarm optimization for nodes localization algo...
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ISBN:
(纸本)9781479937066
In this paper, we will analyze the dv - hoplocalizationalgorithm and explain the causes of *** order to improve the accuracy,in this paper, an improved algorithm is *** swarm optimization for nodes localizationalgorithm in WSN based on hopping distances error-weighted was presented. The simulation results compared with the traditional localizationalgorithm show that algorithm improved effectively.
In the dv-hopalgorithm, the estimation distance between the anchor node and the unknown node is large error. In order to solve the problem, this paper proposes the Sub-regional dv-hopalgorithm for dynamic anchor nod...
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Nowadays, different types of computer networks such as Wireless sensor networks (WSNs), the Internet of things (IoT), and wireless body area networks (WBANs) transfer information, share resources, and process informat...
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Nowadays, different types of computer networks such as Wireless sensor networks (WSNs), the Internet of things (IoT), and wireless body area networks (WBANs) transfer information, share resources, and process information. The IoT is a novel network which interconnects various smart devices and can consist of heterogeneous components such as WSNs for monitoring and collecting information. Characterized by specific advantages, the IoT contains different types of nodes, each with few sensors to collect environmental information on agriculture, ecosystem, search and rescue, conflagrations, etc. Despite extensive applications and high flexibility in the modern world, the IoT faces specific challenges, the most important of which include routing, energy consumption and localization. localization leads to other network challenges and thus can be considered the most important challenge in the IoT. localization refers to a process aiming at determining the positions and locations of objects lacking global positioning system (GPS) and needing to use the information of network sensors and topology to estimate their own positions and locations. The distance vector hop (dv-hop) algorithm is a range-free localization technique, in which the major challenge is that the number of hops between two nodes is multiplied by a number that is the same for all nodes leading to a significant reduction in the localization accuracy. In the method proposed in this paper, a network node with no GPS determines the hops from three anchor nodes with GPS. The location of smart objects can be then estimated according to distances from those anchor nodes. Thereafter, a few positions can be created nearby to mitigate the error. Then each position can be regarded as a member of the grasshopper optimization algorithm (GOA) to minimize the localization error. According to the results obtained from implementation of the proposed algorithm, it is characterized by a lower localization error than grasshopper
The problem of solving the nonlinear equations in the range-free localizationalgorithm has been transformed into an optimal solution problem. Meta-heuristic optimization method has been widely adopted to tackle above...
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The problem of solving the nonlinear equations in the range-free localizationalgorithm has been transformed into an optimal solution problem. Meta-heuristic optimization method has been widely adopted to tackle above issues. How to choose the best localization fitness function for a specific target is a key factor in determining whether the localizationalgorithm is accurate or not. However, so far there is no literature to investigate the effect of fitness function on rang-free localizationalgorithm. Firstly, this study comprehensively reviews and classifies the frequently-used localization fitness function in range-free localization scheme. Next, multiple experiments are carried out for each typical localization fitness function. The experimental results are analyzed in terms of accuracy and stability. Besides, the advantage and disadvantage of each localization fitness function are also given. Finally, an advanced localization fitness function is proposed based on the above experimental results, which will provide a guide and reference for selection and improvement of the fitness function in range-free localizationalgorithm.
For the dv-hopalgorithm of wireless sensor networks,there is an error arising problem that anchor nodes and location node hop distance is only an approximate calculation. A method based on the original algorithm intr...
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ISBN:
(纸本)9783037853450
For the dv-hopalgorithm of wireless sensor networks,there is an error arising problem that anchor nodes and location node hop distance is only an approximate calculation. A method based on the original algorithm introducing RSSI ranging technique is proposed. Using RSSI ranging technology,we accord that if the anchor nodes is only a hop away from the location node,then decide whether using the dv-hopalgorithm to approach to the approximate distance between them. Simulation results show that the algorithm can effectively improve the error problems of calculating the hop distance between the anchor nodes and the location nodes, meanwhile improve the positioning accuracy of the node.
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