DocumentCode
3579755
Title
Nodes Density Adaptive Opportunistic Forwarding Protocol for Intermittently Connected Networks
Author
Xiaofeng Lu ; Lio, Pietro ; Pan Hui ; Zhaowei Qu
Author_Institution
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2014
Firstpage
297
Lastpage
300
Abstract
Opportunistic routing is the major routing strategy for intermittently connected networks (ICNs) that are characterized by frequent link disruptions. These disruptions limit the formation and stability of continuous end-to-end paths between any arbitrary source-destination node pair. This paper proposes a novel opportunistic routing/forwarding protocol, Nodes Density Adaptive Opportunistic (NDAO) forwarding protocol. NDAO´s primary objective is to disseminate messages to a large number of receivers while using the minimum possible number of message transmissions. Numerical simulations provide a robust evaluation of the performance of NDAO and a comparison with four widely used forwarding protocols, namely: i) Epidemic Routing (ER), ii) Spray-and-Wait (SW), iii) Prophet and iv) MaxProp. The performance metrics consider both the delivery ratio and the average end-to-end latency. Simulation results show that NDAO can increase the delivery ratio and decrease the delivery latency simultaneously.
Keywords
delay tolerant networks; mobile radio; numerical analysis; routing protocols; synchronisation; wireless sensor networks; ICN; MaxProp; NDAO forwarding protocol; Prophet; Spray-and-Wait; delivery latency; delivery ratio; end-to-end latency; epidemic routing; intermittently connected networks; link disruptions; message transmissions; node density adaptive opportunistic forwarding protocol; numerical simulations; opportunistic routing-forwarding protocol; routing strategy; source-destination node pair; Delays; Mathematical model; Mobile communication; Mobile computing; Protocols; Receivers; Routing; Delay Tolerant Networking; Intermittently connected networks; Opportunistic routing; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
Type
conf
DOI
10.1109/IIKI.2014.67
Filename
7064049
Link To Document