Performance Analysis of AODV Protocol in Mobile Ad Hoc Networks

2011 ◽  
Vol 403-408 ◽  
pp. 2415-2419 ◽  
Author(s):  
Yuan Ming Ding ◽  
Chang Hong Sun ◽  
Lin Song ◽  
Wan Qi Kong

Simulation environment of the mobile Ad Hoc network is built by applying NS2 simulation software. The simulation data indicates that AODV routing protocol is better than DSDV in throughput, fairness and stability. In the underwater network environment where the nodes are in Low-Speed movement, the data transfer rate of AODV routing protocol is higher than AOMDV. To a certain extent, AODV is more suitable for application in underwater environments.

2021 ◽  
Vol 9 (1) ◽  
pp. 191-197
Author(s):  
Omar Faruque, Tadiwa Elisha Nyamasvisva, Abdullahi Mujaheed Saleh, Hasliza Binti Hashim

Wireless technology has brought a very advanced change in the field of the internet. It has given rise to many new applications. In recent years, a lot of work has been done in the field of Mobile Ad hoc Networks (MANET) which makes it so popular in the area of research work. MANET is an infrastructure-less, dynamic network that consists of a collection of wireless mobile nodes, and the communication between these nodes has been carried out without any centralized authority. There are several network performance metrics, Packet Loss and End-to-End Delay which can be taken into account, for getting a general idea about the performance of the Geographical Routing Protocol in Mobile Ad-Hoc Networks. The proposed research will evaluate the parameters which affect the communication in the Geographical Routing Protocol in Mobile Ad-Hoc Networks.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Haifeng Jiang ◽  
Xiaoxiao Liu ◽  
Shuo Xiao ◽  
Chaogang Tang ◽  
Wei Chen

Mobile Ad Hoc Network (MANET) is suitable for complex environment communication in coal mine. The processes of nutrient flux transfer and path choice in Physarum networks are similar to data transmission and routing decision in MANET. In this paper, we use a Physarum optimization model to design Physarum-inspired autonomous optimized routing (PIAOR) protocol to adapt to the dynamic network topology in underground mine. PIAOR introduces the status of MANET into the Poisson equation in the Physarum model, selects reasonable parameters to represent the transmission performance of the network, and uses the differential evolution equation of the Physarum model to evolve the parameters. PIAOR has achieved the distributed routing decision by automatically reconstructing the optimal routing path, which has reduced the algorithm complexity. Based on NS2, simulation experiments are performed to evaluate the performance of PIAOR, and the results are compared with GPSR, PIMAR, and P-IRP routing algorithms. The experimental results show that the routing path selected by PIAOR is better than that selected by the other three protocols in the performance of average end-to-end delay, delivery ratio, and throughput. The balance of energy consumption and network load is reached, and the network lifetime is effectively prolonged when using the PIAOR protocol.


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