A Mobile Adhoc network is a collection of nodes that are dynamically and arbitrarily located in such a manner that the inter connections between nodes are capable of changing on a continual basis. Ad hoc wireless networks are increasing in popularity, because of the spread of laptops, sensor devices, personal digital assistants, and other mobile electronic devices, these devices will eventually need to communicate with each other. For the implementation of MANET, the important factor which is concern is the routing of data from source to destination via various nodes as a mediator due to mobility of mobile nodes. Since the nodes are mobile, the network topology may change rapidly and unpredictably over time. The network topology is u structured and nodes may enter or leave at their will. For mobile ad hoc networks, the complexity of routing increases because of its characteristics such as dynamic topology, absence of centralized authority, time varying quality of service (QoS) requirements, etc. Ant Colony Optimization (ACO) algorithm uses mobile agents as ants to discover feasible and best path in a network. ACO helps in finding the paths between two nodes in a network and selection of path can be changed dynamically according to co dition of the wireless network in case of network congestion.
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Secure Route Selection in Manet Using Ant Colony Optimization
Semantic Scholar · Computer Science · 2015
Abstract
A Mobile Adhoc network is a collection of nodes that are dynamically and arbitrarily located in such a manner that the inter connections between nodes are capable of changing on a continual basis. Ad hoc wireless networks are increasing in popularity, because of the spread of laptops, sensor devices, personal digital assistants, and other mobile electronic devices, these devices will eventually need to communicate with each other. For the implementation of MANET, the important factor which is concern is the routing of data from source to destination via various nodes as a mediator due to mobility of mobile nodes. Since the nodes are mobile, the network topology may change rapidly and unpredictably over time. The network topology is u structured and nodes may enter or leave at their will. For mobile ad hoc networks, the complexity of routing increases because of its characteristics such as dynamic topology, absence of centralized authority, time varying quality of service (QoS) requirements, etc. Ant Colony Optimization (ACO) algorithm uses mobile agents as ants to discover feasible and best path in a network. ACO helps in finding the paths between two nodes in a network and selection of path can be changed dynamically according to co dition of the wireless network in case of network congestion.