Swarm Intelligence Approach for Ad-Hoc Networks
نویسندگان
چکیده
Wireless ad-hoc networks are infrastructureless and they consist of nodes that come together and start communicating dynamically without requiring any backbone support. The nodes can enter and leave the network at will and can move about in the network at will. Ad-hoc networks present the perfect test-beds for bio-inspired computing algorithms. Both ad-hoc networks and bio-inspired computing approaches are characterized by self-organization, feedback and structural and functional complexity (Toh, 2002) (deCastro & Von Zuben, 2005). Hence, bio-inspired algorithms often provide us an opportunity to solve the most complex problems of ad-hoc networks in a satisfactory manner. In this chapter, we present the works done in the field of ad-hoc networks using bio-inspired Swarm Intelligence (SI). In particular, we look at how we can use Ant Colony Optimization (ACO) technique, a SI technique, for optimal routing in ad-hoc networks.
منابع مشابه
A New Routing Algorithm for Vehicular Ad-hoc Networks based on Glowworm Swarm Optimization Algorithm
Vehicular ad hoc networks (VANETs) are a particular type of Mobile ad hoc networks (MANET) in which the vehicles are considered as nodes. Due to rapid topology changing and frequent disconnection makes it difficult to design an efficient routing protocol for routing data among vehicles. In this paper, a new routing protocol based on glowworm swarm optimization algorithm is provided. Using the g...
متن کاملBroadcast Routing in Wireless Ad-Hoc Networks: A Particle Swarm optimization Approach
While routing in multi-hop packet radio networks (static Ad-hoc wireless networks), it is crucial to minimize power consumption since nodes are powered by batteries of limited capacity and it is expensive to recharge the device. This paper studies the problem of broadcast routing in radio networks. Given a network with an identified source node, any broadcast routing is considered as a directed...
متن کاملDistributed Trust Establishment in MANET’s: Swarm Intelligence
We present some properties of trust establishment in mobile, ad-hoc networks and illustrate how they differ from those of trust establishment in the Internet. We present a framework for trust establishment in mobile ad-hoc networks and argue that peer-to-peer networks are especially suitable to solve the problems of generation, distribution, and discovery of trust evidence in mobile ad-hoc netw...
متن کاملEvolutionary Computing Approach for Ad-Hoc Networks
Wireless ad-hoc networks are infrastructureless networks in which heterogeneous capable nodes assemble together and start communicating without any backbone support. These networks can be made truly dynamic and the nodes in these networks can move about freely while connecting and disconnecting with other nodes in the network. This property of ad-hoc networks to self-organize and communicate wi...
متن کاملAnalysis of Routing Protocols in AD HOC and Sensor Wireless Networks Based on Swarm Intelligence
There are various bio inspired and evolutionary approaches including genetic programming (GP), Neural Network, Evolutionary programming (EP) exp loited for routing optimizat ion in MANETs and WSNs. The Swarm Intelligence based algorithmic approaches; Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) are more p romising in provid ing loop free, energy-aware, and mult i-path rou...
متن کامل