Studying Connectivity Probability and Connection Duration in Freeway VANETs

Author(s):  
Sherif M. Abuelenin ◽  
Adel Y. Abul-Magd
2020 ◽  
Author(s):  
Hailin Xiao ◽  
Xiaolan Liu ◽  
Qiuyu Zhang ◽  
Anthony Theodore Chronopoulos

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2126 ◽  
Author(s):  
Lijun Wang ◽  
Jia Yan ◽  
Tao Han ◽  
Dexiang Deng

Based on the connectivity and energy consumption problems in wireless sensor networks, this paper proposes a kind of new network algorithm called the connectivity and energy efficiency (CEE) algorithm to guarantee the connectivity and connectivity probability, and also to reduce the network energy consumption as much as possible. Under the premise that all sensors can communicate with each other in a specific communication radius, we obtained the relationship among the connectivity, the number of sensor nodes, and the communication radius because of the theory of probability and statistics. The innovation of the paper is to maximize the network connectivity and connectivity probability, by choosing which types of sleeping nodes to wake up. According to the node’s residual energy and the relative value of distance, the algorithm reduces the energy consumption of the whole network as much as possible, and wakes up the number of neighbor nodes as little as possible, to improve the service life of the whole network. Simulation results show that this algorithm combines the connectivity and the energy efficiency, provides a useful reference value for the normal operation of the sensors networks.


2013 ◽  
Vol 427-429 ◽  
pp. 2338-2343
Author(s):  
Qian Li ◽  
Qi Zhu

Connectivity is the fundamental of the Ad Hoc wireless network for end to end data transmissions. It becomes difficult to keep the connectivity when uncertain features increase, such as fading channels and interference in the network. Based on the theory of stochastic geometry, a SIR model is used to calculate the link probability between nodes. We derive a tight explicit expression for the connectivity probability in the present of Rayleigh fading and interference. According to this expression, we can optimize network topology efficiently. Simulation results validate the accuracy of our conclusion.


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