PARAMETER ADAPTATION FOR ANT COLONY SYSTEM IN WIRELESS SENSOR NETWORK
نویسندگان
چکیده
منابع مشابه
An Ant-Colony Optimization Clustering Model for Cellular Automata Routing in Wireless Sensor Networks
High efficient routing is an important issue for the design of wireless sensor network (WSN) protocols to meet the severe hardware and resource constraints. This paper presents an inclusive evolutionary reinforcement method. The proposed approach is a combination of Cellular Automata (CA) and Ant Colony Optimization (ACO) techniques in order to create collision-free trajectories for every agent...
متن کاملAnt Colony Optimization Algorithm for Wireless Sensor Network
Due to the inventions in technology, Wireless sensor networks have been growing rapidly. Sensor nodes are capable of performing some processing, gathering required information and communicating with other connected nodes in the network. Sensor nodes are of limited energy which is a drawback during peak times in a network. Always energy is of primary concern in a wireless sensor networks. There ...
متن کاملAn Ant Colony based Routing Algorithm for Wireless Sensor Network
Wireless sensor network (WSN) is a new research area of computer science and technology and has a wide application future,more and more attention. It will be much market in application of military, health, home, environment, etc. In WSN, sensor devices have limited supply of energy. The sensor death due to dissipating battery energy is one of the fundamental design issues in WSNs. Hence, energy...
متن کاملAnt Colony Optimization for Wireless Sensor Network: A Review
A wireless sensor network is a gathering of specific transducers with a correspondences foundation for observing and recording conditions at diverse areas. Ant colony optimization algorithm (ACO) is a probabilistic procedure for tackling computational issues which can be lessened to discovering great ways through diagrams. Clustering is the undertaking of collection a set of items in such a rou...
متن کاملParameter Adaptation in Ant Colony Optimization
This chapter reviews the approaches that have been studied for the online adaptation of the parameters of ant colony optimization (ACO) algorithms, that is, the variation of parameter settings while solving an instance of a problem. We classify these approaches according to the main classes of online parameter-adaptation techniques. One conclusion of this review is that the available approaches...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Information and Communication Technology
سال: 2019
ISSN: 1675-414X,2180-3862
DOI: 10.32890/jict2019.18.2.8286