Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Multihop Performance
By Michele Zorzi, Ramesh R. Rao. IEEE Transactions on Mobile Computing, 2003
972 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/8d0bcd3f86724e12ddaa2b1537e0176bc55da4c1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Aggelos Bletsas
- Matthew C. Valenti
- Bin Zhao
- Sanjit Biswas
- Ashish J. Khisti
- David P. Reed
- A. Lippman
- V. Naumov
Citations in the corpus
- Cooperative communications with relay-selection: when to cooperate and whom to cooperate with? (2008, background): “In [7], the authors proposed to choose the best relay depending on its geographic position, based on the geographic random forwarding (GeRaF) protocol proposed in [8] and [9].”
- Wireless sensor network survey (2008, background): “The receiver contention operation is based on the receiver-based routing [119,120] which uses the routing level of each node to decide its priority in sending the packet.”
- Focused beam routing protocol for underwater acoustic networks (2008, neutral): “In wireless sensor networks, location awareness has been previously considered leading to geographical routing protocols such as GeRaF [9, 10], a forwarding technique based on location information of the nodes involved, and random selection of the relaying nodes via contention among the receivers.”
- VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks (2006, background): “Geographic Routing Protocols for Mobile Ad Hoc Networks In the literature, there are many geographic routing protocols [3], [13], [10], [6], [27], [7], [23], [16] proposed to address the node mobility issue.”
- VANET Routing on City Roads Using Real-Time Vehicular Traffic Information (2009, methodology): “Minimizing the remaining distance to the destination is also the objective in [30], [31], and [34], which operate at the MAC layer.”
- An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces (2006, methodology): “Geographic random forwarding (GERAF) for ad hoc and sensor networks: multihop performance.”
- Energy conservation in wireless sensor networks: A survey (2009, background): “Although being defined as a geographic routing protocol, Geographic Random Forwarding (GeRaF) [21,153,154] actually presents features which are in the direction of location-driven duty-cycled operations, which make use of both node position and redundancy.”
- Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Energy and Latency Performance (2003, background): “This basic idea is described in some more detail in a companion paper [9], where the multihop performance of the scheme is also studied.”
- ExOR: opportunistic multi-hop routing for wireless networks (2005, methodology): “Similarly, GeRaF [21] uses an RTS/CTS-based receiver contention scheme to select the best of many potential forwarders, but prioritizes forwarders based on geographic distance instead of S/N.”
- A simple Cooperative diversity method based on network path selection (2005, background): “Zorzi and Rao’s scheme of distance-dependent relay selection was employed in the context of Hybrid-ARQ, proposed by Zhao and Valenti [20].”
- ALBA-R: Load-Balancing Geographic Routing Around Connectivity Holes in Wireless Sensor Networks (2014, background): “GeRaF [3] is one of the first cross-layer solutions for convergecasting in WSNs.”
- Practical relay networks: a generalization of hybrid-ARQ (2005, methodology): “An alternative to assigning a specific relay to each window is to assign zones to each window, as was done in [14].”
- Connectivity-Aware Routing (CAR) in Vehicular Ad-hoc Networks (2007, background): “wants to send a packet [10], [15], [16], [18], [22], [23].”