Energy-efficient routing strategies based on real-time data of a local traffic management center

2015 ◽  
Author(s):  
Anja Liebscher ◽  
Mario Krumnow ◽  
Jurgen Krimmling ◽  
Falk Hanisch ◽  
Bernard Baker
Keyword(s):  
Real Time ◽  
Energy Efficient ◽  
Traffic Management ◽  
Time Data ◽  
Energy Efficient Routing ◽  
Real Time Data

scholarly journals Energy Efficient and Real-Time Remote Sensing in AI-Powered Drone

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bongjae Kim ◽  
Jinman Jung ◽  
Hong Min ◽  
Junyoung Heo
Keyword(s):  
Remote Sensing ◽  
Energy Consumption ◽  
Data Analysis ◽  
Real Time ◽  
Energy Efficient ◽  
Urban Areas ◽  
Computation Offloading ◽  
Time Constraints ◽  
Time Data ◽  
Real Time Data

Remote sensing using drones has the advantage of being able to quickly monitor large areas such as rivers, oceans, mountains, and urban areas. In the case of applications dealing with large sensing data, it is not possible to send data from a drone to the server online, so it must be copied to the server offline after the end of the flight. However, online transmission is essential for applications that require real-time data analysis. The existing computation offloading scheme enables online transmission by processing large amounts of data in a drone and transferring it to the server, but without consideration for real-time constraints. We propose a novel computation offloading scheme which considers real-time constraints while minimizing the energy consumption of drones. Experimental results showed that the proposed scheme satisfied real-time constraints compared to the existing computation offloading scheme. Furthermore, the proposed technique showed that real-time constraints were satisfied even in situations where delays occurred on the server due to the processing of requests from multiple drones.

scholarly journals Low latency and energy efficient cluster based routing design for wireless sensor network

2019 ◽  
Vol 13 (2) ◽  
pp. 615
Author(s):  
Basavaraj G.N ◽  
Jaidhar C.D
Keyword(s):  
Real Time ◽  
Energy Efficient ◽  
Cluster Head ◽  
Data Access ◽  
Wireless Sensor ◽  
Low Latency ◽  
Time Data ◽  
Sensor Device ◽  
Real Time Data ◽  
Real Time Application

<span>Wireless sensor network (WSN) has attained wide adoption across various sectors and is considered to be key component of future real-time application such as BigData, Internet of things (IoT) etc. The modern application requires low latency and scalable real-time data access considering heterogeneous network. However, provisioning low latency real-time data access incurs energy overhead among sensor device. Clustering technique aided in providing scalability and minimizing energy consumption among sensor device. However, it incurs energy overhead among cluster head and sensor device closer to sink. To address, many optimization technique is been presented in recent time for optimal cluster selection. However, these technique are designed considering homogenous network. To address, this work presented Low Latency and Energy Efficient Routing (LLEER) design for heterogeneous WSN. The LLEER adopts multi-objective function such as</span><span>connectivity, connection time, radio signal strength, coverage time, and network traffic for cluster head and hop node selection. Experiment are conducted to evaluate LLEER design shows significant performance improvement over state-of-art model in terms of network lifetime considering total node death, first node death, and loss of connectivity, communication overhead, and packet transmission latency. Proposed LLEER brings a good trade-off between energy efficiency, and latency requirement of future real-time application.<span>   </span></span>

An Energy-Efficient QoS Routing Algorithm for Wireless Sensor Networks

2012 ◽  
Vol 562-564 ◽  
pp. 1297-1303
Author(s):  
Jun Hao Wang ◽  
Xiang Rui Meng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Qos Routing ◽  
Wireless Sensor ◽  
Time Data ◽  
Real Time Data ◽  
Qos Routing Algorithm

For effective routing in wireless sensor networks many routing protocols have been implemented. However, transmission of data requires both energy and QoS efficient routing in order to ensure efficient usage of the sensors and effective access to the gathered measurements. An energy-efficient QoS routing algorithm for sensor networks is proposed which can also run efficiently with best-effort traffic. The algorithm finds a least-cost, delay-constrained path for realtime data in terms of link cost that captures nodes’ energy reserve, transmission energy, error rate and other communication parameters. Moreover, the throughput for non-real-time data is maximized by adjusting the service rate for both real-time and non-real-time data at the sensor nodes by using two different calculation. Simulation results have demonstrated the effectiveness of our approach for different metrics.

scholarly journals A Lightweight Secure and Energy-Efficient Fog-Based Routing Protocol for Constraint Sensors Network

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 89
Author(s):  
Khalid Haseeb ◽  
Naveed Islam ◽  
Yasir Javed ◽  
Usman Tariq
Keyword(s):  
Real Time ◽  
Energy Efficient ◽  
High Performance ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Time Data ◽  
Energy Efficient Routing ◽  
Routing Security ◽  
Simulation Based

The Wireless Sensor Network (WSN) has seen rapid growth in the development of real-time applications due to its ease of management and cost-effective attributes. However, the balance between optimization of network lifetime and load distribution between sensor nodes is a critical matter for the development of energy-efficient routing solutions. Recently, many solutions have been proposed for constraint-based networks using the cloud paradigm. However, they achieve network scalability with the additional cost of routing overheads and network latency. Moreover, the sensors’ data is transmitted towards application users over the uncertain medium, which leads to compromised data security and its integrity. Therefore, this work proposes a light-weight secure and energy-efficient fog-based routing (SEFR) protocol to minimize data latency and increase energy management. It exploits the Quality of Service (QoS) factors and facilitates time-sensitive applications with network edges. Moreover, the proposed protocol protects real-time data based on two levels of cryptographic security primitives. In the first level, a lightweight data confidentiality scheme is proposed between the cluster heads and fog nodes, and in the second level, a high-performance asymmetric encryption scheme is proposed among fog and cloud layers. The analysis of simulation-based experiments has proven the significant outcomes of the proposed protocol compared to existing solutions in terms of routing, security, and network management.

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