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
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;
Conference_Titel :
Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
DOI :
10.1109/IIKI.2014.67