Optimization of network sensor node location based on edge coverage control

2021 ◽  
Author(s):  
Yanna Wang ◽  
Xinyue Zhou ◽  
Jian Sun ◽  
Xiaoye Li ◽  
Junping Zhang
Keyword(s):  
Sensor Node ◽  
Coverage Control ◽  
Node Location ◽  
Edge Coverage

An Accurate Localization Method for Video Sensor Network Nodes

2011 ◽  
Vol 225-226 ◽  
pp. 531-535
Author(s):  
Jun Xiang Gao ◽  
Yan Tian
Keyword(s):  
Sensor Networks ◽  
Sensor Node ◽  
Minimum Mean Square Error ◽  
Sensor Nodes ◽  
Network Nodes ◽  
Practical Applications ◽  
Accurate Localization ◽  
Node Location ◽  
Video Sensor Networks ◽  
Video Sensor

Localization of the sensor nodes is a major obstacle for practical applications of video sensor networks. This paper present a novel localization technique based on vision in wireless sensor networks. On the assumption that sensor nodes can be recognized in an image, a sensor node firstly direct its Field-of-View (FoV) to an anchor or localized node, then we can get the orientation of anchor node relate to the sensor node to be localized. If two or more anchors can be found in sensing area, a series of equations will be obtained. They can be solved using minimum mean square error rule, and the solution of the overdetermined equations mentioned above is the estimation of the node position. The experiments indicate that a promising performance can be achieved in determining the exact node location using a small number of anchors.

scholarly journals Energy Efficient Model for Maximizing the Network Coverage Time in Non-Deterministic WSN Model

2019 ◽  
Vol 9 (2) ◽  
pp. 27-32
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Sensor Node ◽  
Deterministic Model ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Network Coverage ◽  
Node Placement ◽  
Node Location ◽  
Death And Loss

WSN are the group nodes and these nodes are grouped into several clusters, each cluster has its own CH (Cluster Head). Moreover, each cluster Head collects the data and sends either through the corresponding CH or through the CH. Moreover, the clustering plays one of the eminent role in WSN, since Clustering reduces the energy consumption in the cluster Head and improvises the lifetime and scalability of WSN. However, this maximizes the burden on the CH and certainly, it causes the coverage loss. Hence, in this paper we design a model named as EE-NCT (Energy Efficient model for maximizing the network coverage time) which helps in increasing the Network Coverage time for the non-deterministic model, i.e. Sensor nodes location are not known. Non –deterministic model makes hard to maximize, as the node placement is not known. Moreover, this is achieved through monitoring the sensor node location and applying the routing based clustering scheme. Our model is evaluated by considering the various constraint such as first sensor node death, 75% of node death and loss of connectivity by considering the parameter as energy consumption and average number of failed nodes

scholarly journals Design and Implement Beacon based scheme for Node Localization in Underwater Acoustic Network

2020 ◽  
Vol 20 ◽  
pp. 53-64
Author(s):  
Puneetpal Kaur ◽  
Mohit Marwaha ◽  
Baljinder Singh
Keyword(s):  
Sensor Node ◽  
Base Station ◽  
Position Estimation ◽  
Sensor Nodes ◽  
Node Localization ◽  
Underwater Acoustic ◽  
Aggregate Information ◽  
Underwater Acoustic Network ◽  
Node Location ◽  
Node Position

A network that can sense the surroundings and collected all the information from the sensor nodes and passed it to the base station is known as a wireless sensor network. The underwater acoustic networks are the type of network deployed under the oceans and passed information to the base station.  Due to the dynamic nature of the network, nodes change their location at any time. To maximum aggregate information from the sensor nodes, to estimate exact node location is very important. 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 localizes more 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 node localization. The beacon nodes send beacon messages 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.

Comparative Cluster Based Mobile Routing Approach for Energy Efficiency in Optimization of Node location in WSNs

2019 ◽  
Vol 9 (2) ◽  
pp. 179-187
Author(s):  
Sanjay Kumar Sahani ◽  
Raghav Yadav
Keyword(s):  
Energy Efficiency ◽  
Sensor Node ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Mobile Node ◽  
Sensor Location ◽  
Anchor Node ◽  
Cost Factor ◽  
Node Location ◽  
Transmitted Signal

Background & Objective: The Energy efficiency in optimization of node sensor location is considered as a design on Comparatively Cluster Based Mobile Routing Approach (CCBMRA) likewise circle coverage and elliptical coverage. Location of boundary has deployment with CCBMRA distribution of anchor node and un-anchor node or static sensor node. Methods: This proposed method has applied for distributed by anchor node positioned to measurements of employing received signal strength. So it is important for intermediate processing phase to achieved accurate positioning of SSN (Static Sensor Node). Moreover, ASN (Anchor Sensor Node) transmitted signal accurate computational and energy efficiency in optimization through reduces the number of cost factor, time and utilization of anchor node location. The research has established algorithm and simulation experimental based mobile node localisation routing approached. Result and Conclusion: The experimental has achieved higher localisation precision in less nodes. This paper suggests algorithm based on CCBMRA.

A Wormhole Attack Defense Strategy of WSN Based on Node Location Information

2011 ◽  
Vol 268-270 ◽  
pp. 1055-1060
Author(s):  
Zheng Jian Zheng
Keyword(s):  
Sensor Node ◽  
Network Modeling ◽  
Physical Distance ◽  
Location Information ◽  
Crack Network ◽  
Wormhole Attack ◽  
Defense Strategy ◽  
Aodv Protocol ◽  
Node Location ◽  
Simulation Results

Wormhole attack is a kind of attack manner in WSN that does not need to crack network encryption key, which has great harm. Aiming at the characteristics of Wormhole attack, a wormhole attack defense strategy based on node location information was presented. The manner computed physical distance between two nodes through extraction of location information in the packets and compared it with stored threshold, so as to determine whether these packets come from normal communication range. WSN network modeling and simulation results based on OMNeT++ indicates that AODV protocol of defense strategy added sensor node location information can implement successfully defense.

Study of Wireless Sensor Node Functions for Underwater Monitoring Sensor Network

2013 ◽  
Vol 133 (4) ◽  
pp. 414-420 ◽  
Author(s):  
Tsuyoshi Suzuki ◽  
Takafumi Kobayashi ◽  
Kei Sawai ◽  
Kuniaki Kawabata ◽  
Fumiaki Takemura ◽  
...  
Keyword(s):  
Sensor Network ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node
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