Research
QFSRD: Orthogenesis Evolution based Genetic Algorithm for QoS Fitness Scope aware Route Discovery in Ad hoc Networks
Here in this paper we devised a novel orthogenesis evolution based GA technique for QoS fitness scope aware routing in Mobile Ad hoc Networks. The past decade research towards route discovery strategies for mobile ad hoc networks is continuing with magnitude speed. However, the majority of the routing solutions devised in past are dealing only with the optimality of the data transmission. QoS aware hop level connections in a given rute are not supported with the desired frequency. Hence the QoS aware routing in mobile ad hoc networks is grabbing the attention of many researchers as this domain is on the hot edge of the current research.
Energy Efficient QoS Routing Protocol based on Genetic Algorithm in MANET
Abstract- In mobile ad-hoc networks (MANETs), providing quality of service is more challenging than wired networks, because of multi hop communication, node connectivity and lack of central co-ordination. Mobile ad-hoc networks need sure distinctive characteristics which might cause difficulties providing QoS in such network. Coming up with of multi constrained QoS routing protocols remains troublesome. As a result of routing protocols must satisfy the numerous QoS metrics at a time. Genetic algorithm based routing protocol will give the solution for multi constrained QoS routing problem. In existing genetic algorithm based routing, achieving energy efficiency is the major drawback. To overcome this drawback, in this paper, we have proposed genetic algorithm based energy efficient QoS routing for MANET. Proposed GA based routing algorithm discovered the shortest path from source to destination, which can consumes less energy compare to existing algorithms. In this paper TCP,CBR and video sources are applied at a time then energy consumption of proposed algorithm is compared with existing normal GA based and AOMDV. Simulation results show that proposed algorithm consumes less energy towards given scenario. Simulations are performed in NS-2.
QoS Routing solution based on Genetic Algorithm for MANETs
Qos routing protocol design for mobile ad-hoc networks is more challenging than wire lane network. Mainly due to node mobility, multi hop communications, contention for channel access and lack of central ordination.QoS guarantees are required by the most of the applications. Most optimal route has to be selected from source to destination by using QoS routing protocol. Many routing protocols are designed for single QoS metric. If it requires to design routing protocol for multi constrained routing path, normal algorithms can be failed. In this paper we proposed genetic algorithm based route selection protocol to solve the multi constrained QoS route. Genetic algorithm finds the optimal route with population initialization, cross over, mutation and fitness function calculation. QoS constraints consists of end to end delay, band width, packet loss rate, node connectivity index (Ni) and dynamic resource availability. Simulations have been performed in ns-2. Performance of genetic algorithm is compared with AOMDV and results shows that genetic algorithm is giving efficient results for different metrics (delay, throughput and Delivery ratio).
