SunChase: Energy-Efficient Route Planning for Solar-Powered EVs

This paper designs a spatial data-centric tour and charging scheduler for electric vehicles, which need energy-efficient route planning, especially when visiting multiple destinations, due to their short driving range. Basically, the hybrid orienteering problem solver finds a feasible tour schedule for mandatory user-selected tour spots and optimal system-recommended charging spots, aiming at reducing the waiting time and meeting the given constraint. To recommend essential candidates, our system manages the information on tour spots and charging facilities in the spatial database, adjusting the bounding box size according to the pre-analysis result. The pre-analysis module can implement a sophisticated recommendation logic based on the preprocessed data customized mainly from geographic analysis. In addition, by continuously updating the current status of each charger, the recommender can catch the installation of new charging facilities and exclude the failed or overbooked chargers.

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On the way to a multi-modal energy-efficient route

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2013.6699908 ◽

2013 ◽

Cited By ~ 4

Author(s):

Matthias Prandtstetter ◽

Markus Straub ◽

Jakob Puchinger

Keyword(s):

Energy Efficient ◽

Efficient Route ◽

The Way

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Energy Efficient Neuro-Fuzzy Cluster based Topology Construction with Metaheuristic Route Planning Algorithm for Unmanned Aerial Vehicles

Computer Networks ◽

10.1016/j.comnet.2021.108214 ◽

2021 ◽

pp. 108214

Author(s):

Irina V. Pustokhina ◽

Denis A. Pustokhin ◽

E. Laxmi Lydia ◽

Mohamed Elhoseny ◽

K. Shankar

Keyword(s):

Unmanned Aerial Vehicles ◽

Energy Efficient ◽

Route Planning ◽

Fuzzy Cluster ◽

Topology Construction ◽

Aerial Vehicles ◽

Neuro Fuzzy ◽

Planning Algorithm

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Energy-Efficient Path Planning for Solar-Powered Mobile Robots

Experimental Robotics - Springer Tracts in Advanced Robotics ◽

10.1007/978-3-319-00065-7_48 ◽

2013 ◽

pp. 717-731 ◽

Cited By ~ 2

Author(s):

Patrick A. Plonski ◽

Pratap Tokekar ◽

Volkan Isler

Keyword(s):

Path Planning ◽

Mobile Robots ◽

Energy Efficient ◽

Solar Powered

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Trust-Enabled Energy Effective Optimal Framework for Detection of Intrusions in the Network Using AI Scheme

10.21203/rs.3.rs-906210/v1 ◽

2021 ◽

Author(s):

Putty Srivi ◽

Lavadya Nirmala Devi

Keyword(s):

Data Transmission ◽

Energy Efficient ◽

Data Dissemination ◽

Cuckoo Search ◽

Biologically Inspired ◽

Nodal Distance ◽

End To End Delay ◽

Short Period ◽

Secure Data Transmission ◽

Efficient Route

Abstract Wireless Sensor Networks (WSN) are self-possessed of the devices that are capable of actuating/sensing, processing, and communicating. This is employed for enhancing the day-to-day life, moreover secure data transmission was regarded as the major challenging aspect for the deployment of data. Data dissemination is a crucial in the complex communications framework for transferring messages for any given condition on the network. The dilemma of fixing the safest efficient route was a tedious issue. Hence the secure and most reliable way will give the appropriate solution for the routing issues. Here in this paper the Trust based energy efficient route path identification by Multi-faceted biologically-inspired probabilistic Cuckoo search Node optimization algorithm (TEERP-MFBPCS)is employed to find the efficient safest route within a short period. After seeing the efficient route, the node can be distinguished upon the traffic and security. Then in the selected route, the nodal distance can be calculated through applying weighted-biased end-to-end delay-based approach for traffic analysis. Finally, the intrusion node can be detected and the performance analysis is carried.

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