Enhanced Backtracking Chord protocol for mobile Ad hoc networks

Peer-to-Peer Netw. Appl.

2015

Peer-to-Peer overlay networks can be deployed over Mobile Ad hoc Networks (MANET) to address content discovery issues. However, previous research has shown that deploying P2P systems straight over MANET do not exhibit satisfactory performance. Bandwidth limitation, limited resources and node mobility are some of the key constraints. OneHopOverlay4MANET exploits the synergies between MANET and P2P overlays through cross-layering. It combines Distributed Hash Table (DHT) based structured P2P overlays with MANET underlay routing protocols to achieve one logical hop between any pair of overlay nodes. In this paper, we present OneHopOverlay4MANET and evaluate its performance when combined with different underlay routing protocols. We evaluate OneHopOverlay4MANET with two proactive underlay (OLSR and BATMAN) and with three reactive underlay routing protocols (DSR, AODV and DYMO). Through simulation we show that the use of OLSR in OneHopOverlay4MANET yields the best performance. In addition, we compare the performance of the proposed system over OLSR to two recent structured P2P over MANET systems (MA-SP2P and E-SP2P) that adopted OLSR as the routing protocol. As simulation result shows, better performance can be achieved using OneHopOverlay4MANET

“…It integrates modified Chord that uses GNP with AODV. Enhanced Backtracking Chord [29] modifies Chord to suit MANET by using retransmission and path selection.…”

Section: Distributed Hashmentioning

confidence: 99%

Design and evaluation of a peer-to-peer MANET crosslayer approach: OneHopOverlay4MANET

Peer-to-Peer Netw. Appl.

2015

“…It integrates modified Chord that uses GNP with AODV. Enhanced Backtracking Chord [11] modified Chord to perform better in MANET. It modified Chord to use retransmission and path selection.…”

Section: Related Workmentioning

confidence: 99%

OnehopMANET: One-Hop Structured P2P over Mobile Ad Hoc Networks

2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies

2014

There are many common characteristics between P2P (Peer to Peer) overlay networks and MANET (mobile ad hoc networks). Previous work has shown that when used together, the two approaches complement each other and performance synergies can be exploited. While MANET provide wireless connectivity without depending on any pre-existing infrastructure, P2P overlays provide data storage/retrieval functionality. On the other hand, both approaches face common challenges: maintaining connectivity in dynamic and decentralized networks. This paper proposes OnehopMANET as a structured P2P over MANET the uses cross-layering with a proactive underlay. Unlike previous work, OnehopMANET uses a P2P overlay that is capable of achieving lookups in a single hop. Through simulation we show that this approach offers performance benefits when compared with approaches which employ a multi-hop P2P overlay.

“…It integrates modified Chord that uses GNP with AODV. Enhanced Backtracking Chord [24] modified Chord to perform better in MANET. It modified Chord to use retransmission and path selection.…”

mentioning

confidence: 99%

Performance evaluation of OnehopMANET

2015 Science and Information Conference (SAI)

2015

When used together, Peer-to-Peer overlays and MANET complement each other well. While MANET provides wireless connectivity without depending on any pre-existing infrastructure, P2P overlays provide data storage/retrieval functionality. However, both systems face common challenges: maintaining connectivity in dynamic and decentralized networks. In this paper we evaluate the performance of OnehopMANET[1] as a structured P2P over MANET system that uses cross-layering with a proactive underlay. We compare the performance of OnehopMANET with two recent structured P2P over MANET systems (MA-SP2P and E-SP2P) that use the same underlay protocol (OLSR) and that have been shown to outperform other proposals. Through simulation we show that OnehopMANET achieves a better performance in terms of file discovery delay, lookup fail rate and total traffic load for all the simulated scenarios.