scholarly journals Distributed Network Size Estimation Executed by Average Consensus Bounded by Stopping Criterion for Wireless Sensor Networks

2019 ◽  
Author(s):  
Martin Kenyeres ◽  
Jozef Kenyeres
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Size ◽  
Wireless Sensor ◽  
Distributed Network ◽  
Size Estimation ◽  
Stopping Criterion ◽  
Average Consensus

Secure Deployment with Optimal Connectivity in Wireless Sensor Networks

2020 ◽  
pp. 147-168
Author(s):  
Anju Sangwan ◽  
Rishipal Singh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Performance Metrics ◽  
Network Size ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Security Level ◽  
Real Model ◽  
Homogeneous Network ◽  
Basic Issue

In the hostile areas, deployment of the sensor nodes in wireless sensor networks is one of the basic issue to be addressed. The node deployment method has great impact on the performance metrics like connectivity, security and resilience. In this paper, a technique based on strong keying mechanism is proposed which will enhance the security of a non-homogeneous network using the random deployment of the nodes. For this, the q-composite key pre-distribution technique is presented with new flavor that will enhance the network size as well as the security level in comparison to the existing techniques. The technique ensures the k-connectivity among the nodes with a redundant method to provide backup for failed nodes. In the simulation section, the performance of the proposed scheme is evaluated using NS-2 based upon the real model MICAz. A discussion based on various obtained results is also given in the paper.

Decentralized Average Consensus in Wireless Sensor Networks with Unreliable Communication Channels

2012 ◽  
Vol 3 (3) ◽  
pp. 35-52
Author(s):  
Steve Saed ◽  
Lingxi Li ◽  
Dongsoo S. Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Mathematical Analysis ◽  
Communication Channels ◽  
Error Model ◽  
Wireless Sensor ◽  
Signal Model ◽  
Error Models ◽  
Average Consensus ◽  
Signal Error

This study proposes and evaluates an average consensus scheme for wireless sensor networks. For this, two communication error models, the fading signal error model and approximated fading signal error model, are introduced and incorporated into the proposed decentralized average consensus scheme, especially adapted to the constraints of wireless sensor networks. A mathematical analysis is introduced to derive the approximated fading signal model from the fading signal model and different simulation scenarios are introduced and their results analyzed to evaluate the performance of the proposed scheme and its effectiveness in meeting the needs of wireless sensor networks.

Secure Deployment with Optimal Connectivity in Wireless Sensor Networks

2016 ◽  
Vol 7 (2) ◽  
pp. 1-21
Author(s):  
Anju Sangwan ◽  
Rishipal Singh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Performance Metrics ◽  
Network Size ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Security Level ◽  
Real Model ◽  
Homogeneous Network ◽  
Basic Issue

In the hostile areas, deployment of the sensor nodes in wireless sensor networks is one of the basic issue to be addressed. The node deployment method has great impact on the performance metrics like connectivity, security and resilience. In this paper, a technique based on strong keying mechanism is proposed which will enhance the security of a non-homogeneous network using the random deployment of the nodes. For this, the q-composite key pre-distribution technique is presented with new flavor that will enhance the network size as well as the security level in comparison to the existing techniques. The technique ensures the k-connectivity among the nodes with a redundant method to provide backup for failed nodes. In the simulation section, the performance of the proposed scheme is evaluated using NS-2 based upon the real model MICAz. A discussion based on various obtained results is also given in the paper.

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