IMPORTANT: a framework to systematically analyze the Impact of Mobility on Performance of Routing Protocols for Adhoc Networks

By Fan Bai, Narayanan Sadagopan, Ahmed G. Helmy. IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428), 2003

1,074 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2f08545b24a74bcd4cae3c635a97f93a90ec3359

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Citations in the corpus

Routing in Sparse Vehicular Ad Hoc Wireless Networks (2007, methodology): “…to emulate grouping behavior of battlefield scenarios [7]; Freeway/Manhattan model captured the impact of geographic restriction (i.e., road) on vehicular mobility [8]; Simplified carfollowing model is used to restrict vehicular movements on a road at a lane-level defined by real map data [9].”
The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks (2003, neutral): “[2–4].”
BonnMotion: a mobility scenario generation and analysis tool (2010, methodology): “There are other tools and codebases available: Toilers-Code-Base [12], Important [4], MobiSim [41], CanuMobiSim [52, 53], and SUMO [31].”
Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks (2006, methodology): “Other than Poisson arrivals, MULE arrival processes governed by mobility models such as deterministic, random-waypoint and manhattan [37] are discussed.”
Delay and Capacity Trade-Offs in Mobile Ad Hoc Networks: A Global Perspective (2006, background): “More precisely, unlike in information theoretic studies of capacity, the physical layer modulation and coding scheme was kept .xed in their work.”
CARAVAN: Providing Location Privacy for VANET (2005, methodology): “In [22], two models (Freeway and Manhattan models) are proposed for mobile ad hoc network simulation.”
Topology control in wireless ad hoc and sensor networks (2005, methodology): “Another instance of map-based mobility is the Manhattan mobility model (Bai et al. 2003), which is used to emulate urban movement scenarios.”
Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail (2018, methodology): “1, we consider a V2V communication that uses a Manhattan mobility model [19], which is composed of a set K of K VUE transmitter-receiver pairs under the coverage of a single RSU.”
SLAW: A New Mobility Model for Human Walks (2009, background): “Thus, it lacks the regular patterns present in daily human walks.”
AMOEBA: Robust Location Privacy Scheme for VANET (2007, methodology): “In this section, the proposed AMOEBA and its privacy enhancement techniques are described.”