The Research of Self-Adaptative Power Adjustment Routing

2014 ◽  
Vol 986-987 ◽  
pp. 2082-2085
Author(s):  
Zhi Ping Ding
Keyword(s):  
Cognitive Radio ◽  
Power Consumption ◽  
Energy Saving ◽  
Real Time ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Power Type ◽  
Power Adjustment ◽  
Routing Mechanism ◽  
Internal Capacity

Cognitive Radio Ad Hoc Network (CRAHN), established on the cognitive radio environment, configures the Ad Hoc Network which possesses the internal capacity. How to effectively control the power consumption is an important issue in the CRAHN for CRAHN‘s main power type is battery. At present, the energy-saving routing research in CRAHN is mainly based on the real-time routing mechanism. It means that it should be routed again after transferring an archive. In order to increase the network route’s surviving time and save the power consumption, it introduces a routing mechanism whose purpose is to optimize the communication algorithm’s performance by improving the existing routing mechanism in the Ad Hoc network.

Self-Adaptive Power Adjustment Routing Based on the Cognitive Radio Ad Hoc Network

2013 ◽  
Vol 443 ◽  
pp. 535-540
Author(s):  
Yu Dong ◽  
Rui Qi Liu ◽  
Cheng Pei Tang
Keyword(s):  
Energy Consumption ◽  
Cognitive Radio ◽  
Network Lifetime ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Power Adjustment ◽  
Extra Energy ◽  
Routing Mechanism ◽  
Adaptive Power ◽  
Self Adaptive

There are usually energy holes caused by uneven energy consumption of transferring data in Cognitive Radio Ad Hoc Network (CRANH), which brings about many difficulties in various applications, as limit the network lifetime. To solve this problem, the major idea so far is based on the real-time routing mechanism. However, the method needs to cost extra energy for be routed again after transferring data, it can decrease network surviving lifetime. Hence, a self-adaptive power adjustment routing mechanism for Cognitive Radio Ad Hoc Network proposed in this paper. The algorithm can be minimum of network energy consumption of transferring data based on self-adaptive power adjustment technique can find different neighbor set to meet different power thresholds. Theoretically and experimentally, it is concluded that the proposed algorithm is able to decrease energy consumption and improve the network lifetime of CRANH.

Traffic Congestion Reduction and Accident Circumvention System via Incorporation of CAV and VANET

2021 ◽  
Vol 12 (1) ◽  
pp. 53-72
Author(s):  
Mohsin Khan ◽  
Bhavna Arora
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Traffic Congestion ◽  
Ad Hoc Network ◽  
Discrete System ◽  
Ad Hoc ◽  
New Age ◽  
The Real ◽  
Automated Vehicle ◽  
The Core

Connected automated vehicle (CAV) technology is the core for the new age vehicles in research phase to communicate with one another and assimilation of vehicular ad-hoc network (VANET) for the transference of data between vehicles at a quantified place and time. This manuscript is an enactment of the algorithms associated to the maintenance of secure distance amongst vehicles, lane shifting, and overtaking, which will diminish the occurrence of collisions and congestions especially phantom jams. Those implementations are centered over CAV and VANET technology for the interconnection of the vehicles and the data transmission. The data is associated to the aspects of a vehicle such as speed, position, acceleration, and acknowledgements, which acts as the fundamentals for the computation of variables. In accordance with the environment of a particular vehicle (i.e., its surrounding vehicles), real-time decisions are taken based on the real-time computation of the variables in a discrete system.

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