We present a route maintenance mechanism, P-AODV, which repairs a route by selecting a neighbor on the basis of the traffic being handled by it. A new parameter, priority, is introduced to segregate the nodes into high priority and low priority categories. The availability of a high priority neighbor is required for the success of P-AODV. A highly dense network—our focus—increases the probability of such neighbors in the vicinity of upstream nodes. The priorities are advertised through Hello Packets and stored in Neighbor Tables. Alternate paths are made available at neighbor nodes by overhearing the traffic. In dense networks, avoiding reroute discoveries by selecting neighbors averts the overhead caused by control packets, inherent congestion and delay. Further, we have introduced a Controlled Re-Route Discovery in P-AODV to reduce the control packets transmission. P-AODV substantially improves the overall performance of the network. In this paper we have implemented our algorithms in AODV code of network simulator, ns 2.34, and the results were compared with the existing route maintenance methods of AODV, and RLLR. Chain topologies, running constant bit rate, are created with some neighbors either common to the chains or standalones. The simulation results show significant improvement in routing overhead reduction, packet delivery ratio, and considerable improvement in throughput and end-to-end delay (reduction), comparing P-AODV and AODV.
Wireless Personal Communications – Springer Journals
Published: Mar 8, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera