Location-aided routing (LAR) in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Geocasting in Mobile Ad Hoc Networks: Location-Based Multicast Algorithms
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Voronoi diagram and convex hull based geocasting and routing in wireless networks
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
GeoTORA: a protocol for geocasting in mobile ad hoc networks
ICNP '00 Proceedings of the 2000 International Conference on Network Protocols
Voronoi diagram and convex hull based geocasting and routing in wireless networks: Research Articles
Wireless Communications & Mobile Computing - Special Issue on Ad Hoc Wireless Networks
Vehicular Mobility Simulation for VANETs
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
Vehicular Networks: Techniques, Standards, and Applications
Vehicular Networks: Techniques, Standards, and Applications
| Hi-index | 0.00 |
In this paper, performance analysis of location aided routing (LAR) protocol with different macroscopic level mobility models has been done for Vehicular Ad Hoc Networks. In macroscopic level along with road structure, traffic sign, speed variations and multilane road structure is considered. The mobility models considered are Intelligent Driver Model with Intersection Management (IDM_IM), Intelligent Driving Model with Lane Changing (IDM_LC). Our objective is to provide an in depth analysis of the LAR protocol with different mobility patterns in VANETs. We have considered different node density with varying node speed for the analysis of the protocol. The simulation work has been conducted using the Glomosim 2.03 simulator. For the result analysis we have used awk, shell scripts, and Matlab programming. The results show that the protocol achieves maximum packet delivery ratio of 100 % for 10 numbers of node in both the mobility models in variable node speed. The maximum average end-to-end delay is 2.137411 ms in IDM_LC model for 30 nodes moving with 30 m/s. The minimum average end-to-end delay is 0.091954 ms in IDM_IM model for 40 nodes moving with 30 m/s. It is understandable from the result analysis that the performance of the protocol is excellent for variable node density and mobility.