A low power protocol to broadcast real-time data traffic in a clustered ad hoc network

Author(s):  
J.C. Cano ◽  
P. Manzoni
2019 ◽  
Vol 4 (1) ◽  
pp. 191-196 ◽  
Author(s):  
Jianzhang Wu ◽  
Jiabin Yuan ◽  
Wei Gao

AbstractIn software definition networks, we allow transmission paths to be selected based on real-time data traffic monitoring to avoid congested channels. Correspondingly, this motivates us to study the existence of fractional factors in different settings. In this paper, we present several extend sufficient conditions for a graph admits ID-Hamiltonian fractional (g, f )factor. These results improve the conclusions originally published in the study by Gong et al. [2].


2019 ◽  
Vol 13 (1) ◽  
pp. 28-38 ◽  
Author(s):  
Prashant Dixit ◽  
Anuradha Pillai ◽  
Rahul Rishi

Background: Transmission of heavy and real-time data over wireless links with Quality of Service in Mobile ad-hoc network is a very challenging task. Bandwidth and battery backup parameters are checks for Quality of Service. To provide the Quality of Service in mobile ad-hoc network, the aliveness of a transmitting node has a great concern. Location-aided routing methods for mobile ad-hoc network have gained popularity because of network’s energy saving. Location-aided routing keeps a minimal number of participating nodes for path construction between source and destination, but they did not consider the health of participating nodes that constitute a path. Objective: The objective of this work is harness the location aided routing and builds a protocol which provides Quality of Service in terms of required battery life and available bandwidth. Method: In this work, various patented and non-patented location-based routing and Quality of Service methods for wireless network have been reviewed. The improved location aided routing protocol has been utilized and equipped with Quality of Service check while selecting the next forwarding node for path construction. A novel path preservation procedure is proposed which repair the broken link locally by utilizing candidate next node table. Results: The simulation reveals that the proposed protocol constructs a reliable path consist of trustworthy nodes in terms of battery life and available bandwidth. Conclusion: Proposed work can be utilized for transmitting heavy data traffic in Mobile Ad-hoc network with Quality of Service in real time situation.


2016 ◽  
Vol 04 (04) ◽  
pp. 289-305 ◽  
Author(s):  
Imad Hussein Jawhar ◽  
Nader Mohamed ◽  
Zouheir Trabelsi ◽  
Jameela Al-Jaroodi

In recent years, the technology of wireless sensor networks (WSNs) have evolved quickly leading to sensors with increased memory, storage, processing, and communication capabilities. WSNs have many applications in the commercial, environmental, and military fields. In addition, the technology of unmanned aerial vehicles (UAVs) has gone through revolutionary improvements, which have led to highly advanced UAVs that come in numerous sizes, capabilities, and functions. In order to significantly reduce the energy consumption used in data transmission, reduce radio frequency interference that can be caused with the hidden terminal and collision problems that are present in the multihop data routing approach, and extend the network lifetime, this paper presents different models and strategies for using UAVs for data collection in WSNs. Even though, some of the models can be used for real-time data traffic communication in emergency situations, most of the proposed models are useful for data traffic that is delay tolerant. We define the different types of nodes and devices that are used, and present different UAV-based data collection frameworks including store-and-forward, and real-time data transfer models. The paper also provides several UAV routing algorithms, which use round-robin and demand-driven strategies.


2019 ◽  
Vol 9 (3) ◽  
pp. 4159-4164
Author(s):  
A. M. O. Abdulmula ◽  
K. Sopian ◽  
L. C. Haw

Green telecommunication tower primarily depends on renewable energy and energy efficiency technologies. This study presents a power consumption model to estimate the load demand of a telecommunication tower (TT) to improve energy efficiency. The method is based on field measurements of real-time data traffic load of the entire operated macrocell telecommunication tower to balance power supply and energy demand. This advanced method is investigated using HOMER Pro simulation and compared with a widely accepted technique called overall peak load method for a chosen case study. The comparison simulation results showed that by using the power consumption model method, the energy-saving efficiency at the TT is improved by 24.19% and the size of the overall system is decreased by 33.33%. Consequently, the annualized cost is reduced by 25.7%. This optimum performance contributes to the effective development of green telecommunication towers.


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