Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Energy and Latency Performance
By Michele Zorzi, Ramesh R. Rao. IEEE Transactions on Mobile Computing, 2003
652 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/f77fc4c89057fa937f1f59fe95639465f281c7d0
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In Computer Networks and Communications
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Citations in the corpus
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “We omit effects of the anisotropy in J lm which are to modify slightly the observed values of D lm and which are negligible for proton–proton couplings.”
- 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.”
- Practical relay networks: a generalization of hybrid-ARQ (2005, methodology): “The protocol assumes that each node knows its own position as well as that of the destination, and that a channel contention scheme exists to determine the forwarding node (the details of the contention scheme can be found in [14], [ 15 ]).”
- Controlled sink mobility for prolonging wireless sensor networks lifetime (2008, methodology): “Data are now delivered to the current position of the sink according to the GeRaF routing protocol [58, 59].”
- Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks (2008, background): “A single relay selection strategy based on distance estimation has been investigated in [ 7 ], where a distributed scheme always selects the cooperative relay that is closest to the destination from the set of relays that have decoded the data successfully.”
- Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Multihop Performance (2003, methodology): “Such protocol is described and analyzed, in detail, in a companion paper [1].”
- 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].”
- A simple Cooperative diversity method based on network path selection (2005, methodology): “ closest region contend and so on, until all regions are covered, with a typical number of regions close to 4. The latency of the above distance-dependent contention resolution scheme was analyzed in [18]. Zorzi and Rao’s scheme of distance-dependent relay selection was employed in the context of Hy”
- MAC Essentials for Wireless Sensor Networks (2010, methodology): “Canonical Solutions Preamble-Sampling ALOHA [73], Preamble-Sampling CSMA [74], Cycled Receiver [75], LPL [76], Channel Polling [77] Improving CCA BMAC [76] Adaptive Duty Cycle EA-ALPL [78] Reducing Preamble Length by PacketizationCSMA-MPS [80], TICER [75], WOR [19], X-MAC [81], MH-MAC [82] , DPS-MAC”
- A Review of Information Dissemination Protocols for Vehicular Ad Hoc Networks (2012, neutral): “ographic Random Forwarding (GeRaF) protocol [27].”
- A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems (2016, background): “Zorzi and Rao [135] developed the energy-versuslatency trade-offs based on the geographical location of the nodes, and proposed a collision avoidance protocol.”
- Energy conservation in wireless sensor networks: A survey (2009, background): “Although being defined as a geographic routing protocol, GeRaF (Geographic Random Forwarding) [21], [153], [154] actually presents features which are in the direction of location-driven duty-cycled operations, which make use of both nodes position and redundancy.”