Improvement of Load Distribution and Prevention of Congestion in Ad-Hoc Wireless Networks Using Classification and Swarm Intelligence

Mobile ad hoc networks consist of mobile platforms which are formed dynamically by a group of mobile hosts. The hosts have a capability to detect, navigate and recover the link automatically. Creation of a highly reliable routing is one of the most important factors in networks. Load balance and network congestion are major issues in creation of routing. Disproportionate load distribution in networks causes network performance to reduce considerably. In the proposed method, the ant colony optimization algorithm searches high quality routes using agents. Then, using data classification and balanced load distribution, multiple routes are used instead of leading all the traffic on one singe route with an aim at prevention of congestion in the network and reduction of delays. The results indicate that in addition to reduction of delays, performance of the networks is also enhanced.