Information Technology Reference
In-Depth Information
In Fig. 11, our EW-AODV produces the best PDR compared with the original
AODV. This is because the route is change before running out of the energy.
However, the random initial energy of node has less PDR than other.
In Fig. 12, our EW-AODV has a low routing overhead nearly 50% compare to the
original AODV in both two scenario. The reason is in EW-AODV, the alternative
route is activated before node runs out of the energy. This can avoid the link failure
and the network has no need to do a new route discovery.
Fig. 13.
Energy used
In Fig. 13, we can see our EW-AODV gave the lower energy usage than the
random energy. The original in both scenarios. However, our EW-AODV with energy
initialization uses the lowest energy at 56%.
6
Conclusion
The simulation result shows that both scenario of EW-AODV and AODV has the
similar throughput, PDR and delay. However, our EW-AODV give the good result in
term of overhead and energy usage when compare with the original AODV. Therefore
our protocol appropriates for wireless sensor networks which energy is its resource
constrains.
References
[1]
Acs, G., Buttyabv, L.: A taxonomy of routing protocol for wireless sensor networks.
Award of the Hungarian Telecommunication Scientific Society, 32-40 (January 2007)
[2]
Huang, Z., San-Yang, L., Xiang-Gang, Q.: Overview of Routing in Dynamic Wireless
Sensor Networks. International Journal of Digital Content Technology and its
Applications 4(4), 199-206 (2010)
[3]
Zheng, J., Lee, M.J.: A Comprehensive Performance Study of IEEE 802.15.4. In: Sensor
Network Operations, ch. 4, pp. 218-237. IEEE Press (2006)
[4]
Perkins, C.E., Belding-Royer, E.M., Das, S.R.: Ad hoc On-Demand Distance Vector
(AODV) Routing. RFC 3561 (July 2003)
