An application of ant algorithm for searching energy-efficient route a mobile robot takes using energy as a weighting factor

2014 ◽  
Vol 19 (4) ◽  
pp. 354-362 ◽  
Author(s):  
Anuntapat Anuntachai ◽  
Olarn Wongwirat ◽  
Arit Thammano
2021 ◽  
Author(s):  
Putty Srivi ◽  
Lavadya Nirmala Devi

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.


2011 ◽  
Vol 2 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Pawel Paduch ◽  
Krzysztof Sapiecha

This paper presents a new algorithm for solving the generalized watchman problem. It is the problem of mobile robot operators that must find the shortest route for the robot to see the whole area with many obstructions. The algorithm adapts the well-known ant algorithm to the new problem. An experiment where the algorithm is applied to an area containing more than 10 obstructions is described. It proves that efficiency and accuracy of the algorithm are high.


2020 ◽  
Vol 28 (4) ◽  
pp. 1265-1278 ◽  
Author(s):  
Rafael T. Alarcon ◽  
Caroline Gaglieri ◽  
Otávio A. de Souza ◽  
Daniel Rinaldo ◽  
Gilbert Bannach

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