scholarly journals Anti-jamming Wireless Sensor Network Model

2022 ◽  
Vol 16 ◽  
pp. 352-359
Author(s):  
Andrey Makashov ◽  
Andrew Makhorin ◽  
Maxim Terentiev
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Radio Channel ◽  
Network Connectivity ◽  
Wireless Sensor ◽  
Data Loss ◽  
Algorithms And Data Structures ◽  
Channel Change ◽  
Application Data ◽  
Stable Connection

A wireless sensor network (WSN) of a tree-like topology is considered, which performs measurements and transmits their results to the consumer. Under the interference influence, the WSN nodes transmitters low power makes the transmitted information vulnerable, which leads to significant data loss. To reduce the data loss during transmission, a noise-immune WSN model is proposed. Such a WSN, having detected a stable connection absence between a pair of nodes, transfers the interaction between these nodes to a radio channel free from interference influence. For this, the model, in addition to forming a network and transferring application data, provides for checking the communication availability based on the keep-alive mechanism and restoring the network with a possible channel change. A feature point of the proposed approach is the ability to restore network connectivity when exposed to interference of significant power and duration, which makes it impossible to exchange service messages on the channel selected for the interaction of nodes. To support the model, work algorithms and data structures have been developed, indicators have been formalized to assess an anti-jamming system work quality.

scholarly journals Quality based drip drag match data collection in wireless sensor network

2017 ◽  
Vol 7 (1.1) ◽  
pp. 426
Author(s):  
V Jayaraj ◽  
S Alonshia
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Data Loss ◽  
Quality Of Data ◽  
Deterministic Models ◽  
Multiple Data

Although data collection has received much attention by effectively minimizing delay, computational complexity and increasing the total data transmitted, the transience of sensor nodes for multiple data collection of sensed node in wireless sensor network (WSN) renders quality of service a great challenge. To circumvent transience of sensor nodes for multiple data collection, Quality based Drip-Drag-Match Data Collection (QDDM-DC) scheme have been proposed. In Drip-Drag-Match data collection scheme, initially dripping of data is done on the sink by applying Equidistant-based Optimum Communication Path from the sensor nodes which reduces the data loss. Next the drag operation pulls out the required sensed data using Neighbourhood-based model from multiple locations to reduce the delay for storage. Finally, the matching operation, compares the sensed data received by the dragging operation to that of the corresponding sender sensor node (drip stage) and stores the sensed data accurately which in turn improves the throughput and quality of data collection. Simulation is carried for the QDDM-DC scheme with multiple scenarios (size of data, number of sinks, storage capacity) in WSN with both random and deterministic models. Simulation results show that QDDM-DC provides better performance than other data collection schemes, especially with high throughput, ensuring minimum delay and data loss for effective multiple data collection of sensed data in WSN.

Solving Secure Problems for Wireless Sensor Networks Using Clustering and OKS

2013 ◽  
Vol 818 ◽  
pp. 230-236
Author(s):  
Yu Quan Zhang
Keyword(s):  
Cluster Analysis ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Network Connectivity ◽  
Wireless Sensor ◽  
Two Dimensional ◽  
Wsn Security

A secure scheme for wireless sensor network is presented through dividing sensing area into clusters and using the overlap key sharing (OKS) concept in this paper. The two-dimensional sensing square is divided into a number of small squares called cells, four of which consist of a cluster called logical group. The overlap key sharing protocol creates long bit clusters as the key cluster pools and distributes a sub-group to store every sensor as the key cluster. Analysis and comparison demonstrate this scheme enhances the WSN security, realizes the flexile secure grades for WSNs, and has good network connectivity.

scholarly journals Analysis of Wireless Sensor Network Topology and Estimation of Optimal Network Deployment by Deterministic Radio Channel Characterization

2014 ◽  
Author(s):  
Francisco Falcone ◽  
Erik Aguirre ◽  
Peio Lopez Iturri ◽  
Leire Azpilicueta ◽  
José Javier Astrain ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Topology ◽  
Radio Channel ◽  
Wireless Sensor ◽  
Channel Characterization ◽  
Optimal Network

scholarly journals Cross-Layer Optimized Energy-Balanced Topology Control Algorithm for WSNs

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yongwen Du ◽  
Zhangmin Wang ◽  
Junhui Gong ◽  
Ning Xu ◽  
Xiaohui Hu
Keyword(s):  
Game Theory ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Topology Control ◽  
Control Algorithm ◽  
Network Connectivity ◽  
High Energy ◽  
Wireless Sensor ◽  
Node Degree ◽  
Cross Layer

Because of the complexity of the environment and the limited resources of nodes, there will be an imbalanced energy consumption and a short life among nodes in the wireless sensor network. In this paper, by introducing the concept of game theory and supermodel game theory, we solve the challenge of a wireless sensor network topology control method based on cross-layer information design. The cross-layer information such as node degree, network connectivity, and MAC layer interference is integrated into the design of utility function to establish a new topological game model. Then, based on this topology control model, we propose a cross-layer optimized energy-balanced topology control algorithm (COETC). Compared with other algorithms, our COETC algorithm not only guarantees the network connectivity and robustness while reducing the required node transmitting power but also achieves good energy balance and high energy efficiency. Ultimately, our method effectively prolongs network lifetime and improves network performance.

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