Paper Info
Title
Selecting an appropriate routing protocol for in-field MANEMO experiments
Abstract
Despite years of research in ad hoc routing protocols, only a few have been investigated in the context of MANEMO (MANET for NEMO), which provides a hierarchical structured network and global connectivity. Motivated by the deployment of post-disaster MANEMOs composed of mobile routers and stations, we evaluate two candidate routing protocols through analytical models, simulation, and field experiments. The first protocol is the widely adopted Optimized Link State Routing protocol (OLSR) and the second is the combination of the Tree Discovery Protocol (TDP) with Network In Node Advertisement (NINA). To the best of our knowledge, this is the first time that these two protocols are compared in both theoretical and practical terms. We focus on the control overhead generated when nodes perform a handover. Our results confirm the correctness and operational robustness of both protocols. More interestingly, although in the general case OLSR leads to better results, TDP/NINA outperforms OLSR in the case of sparse networks, which corresponds to the operation point of our target scenario.
Year
DOI
Venue
2009
10.1145/1641876.1641895
PE-WASUN
Keywords
Field
DocType
in-field manemo experiment,analytical model,global connectivity,better result,hierarchical structured network,mobile routers,field experiment,node advertisement,appropriate routing protocol,tree discovery protocol,general case,optimized link state routing,routing protocol,optimized link state routing protocol,routing,simulation,field experiments
Link-state routing protocol,Enhanced Interior Gateway Routing Protocol,Computer science,Computer network,Wireless Routing Protocol,Ad hoc wireless distribution service,Interior gateway protocol,Optimized Link State Routing Protocol,Zone Routing Protocol,Distributed computing,Routing protocol
Conference
Citations 
PageRank 
References 
2
0.46
6
Authors
7
Name
Order
Citations
PageRank
Hajime Tazaki1738.24
Rodney Van Meter236636.33
Ryuji Wakikawa350747.82
Thirapon Wongsaardsakul4152.96
Kanchana Kanchanasut510519.65
Marcelo Dias de Amorim675866.66
Jun Murai717145.72