Analyzing the transitional region in low power wireless links
By Marco Zúñiga, Bhaskar Krishnamachari. 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004., 2004
994 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/48a9997cd9a838aaed5bfb94b8237d1e7c6c7546
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Bhaskar Krishnamachari
- Pham Tran Anh Quang
- Dong-Sung Kim
- Marco Zúñiga
- Ramesh Govindan
- Sundeep Pattem
- Dongjin Son
- John S. Heidemann
In Electrical and Electronic Engineering
- Bhaskar Krishnamachari
- Marco Zúñiga
- J. Stankovic
- Tian He
- Ramesh Govindan
- John S. Heidemann
- Deborah Estrin
- Alberto E. Cerpa
Citations in the corpus
- The impact of spatial correlation on routing with compression in wireless sensor networks (2008, methodology): “We consider the model for lossy, low power wireless links proposed in [Zuniga and Krishnamachari 2004a].”
- Coverage and connectivity issues in wireless sensor networks: A survey (2008, background): “This simple binary disk model of communication has been repeatedly challenged by empirical measurements [75], and studies have suggested that wireless links are highly irregular and far from being isotropic.”
- Efficient geographic routing in multihop wireless networks (2005, background): “In fact, this setting is in favor of ADV, because in practice, transmissions to neighbors with large ADV are likely to suffer from frequent errors [18, 20].”
- Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links (2009, background): “The links between these nodes are wireless path loss channels combined with shadowing effects as in [49].”
- Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks (2012, methodology): “We adopt the lossy link model of [7] and [23] with BPSK modulation.”
- Rendezvous design algorithms for wireless sensor networks with a mobile base station (2008, methodology): “To simulate unreliable wireless links, we implemented a link layer model from USC [30].”
- Real-time Power-Aware Routing in Sensor Networks (2006, background): “Experimental data shows that the USC model produces lossy and asymmetric links similar to MICA2 motes [6].”
- Temporal properties of low power wireless links: modeling and implications on multi-hop routing (2005, background): “Recent studies indicate profound differences between experimentally observed properties of low power communication links and widely used simulation models [9, 23, 20, 2, 24, 25].”
- Does Wireless Sensor Network Scale? A Measurement Study on GreenOrbs (2011, background): “1b exhibits the topology with which the network delivers data back.”
- An analysis of unreliability and asymmetry in low-power wireless links (2007, methodology): “Some of the results are presented in [14].”
- Experimental study of concurrent transmission in wireless sensor networks (2006, methodology): “Experimental Study of Concurrent Transmission in Wireless Sensor Networks Dongjin Son1,2 Bhaskar Krishnamachari1 John Heidemann2 {dongjins, bkrishna}@usc.edu, johnh@isi.edu 1Department of Electrical Engineering-Systems, 2Information Sciences Institute Viterbi School of Engineering, University of S”
- An empirical study of low-power wireless (2010, background): “This range is much higher for other link layers previously studied: between 5 and 9 dB for 802.11 (5 dB for 11Mbps and 9 dB for 1Mbps) [Aguayo et al. 2004], and 6 dB for an early mote platform [Zuniga and Krishnamachari 2004].”
- Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks (2004, methodology): “Our work use the link layer model derived in [16]:”
- Performance study of IEEE 802.15.4 using measurements and simulations (2006, background): “The transitional region is often quite sig-nificantly characterized by high variances in the reception rates and the asymmetric connectivity [12].”
- Radio link quality estimation in wireless sensor networks (2012, background): “Moreover, WRE assumes that link quality is correlated with distance, which is not always true, as proved by several empirical studies on low-power links [Zhao and Govindan 2003; Zuniga and Krishnamachari 2004; Cerpa et al. 2003; Reijers et al. 2004].”
- Enhancing Real-Time Delivery in Wireless Sensor Networks With Two-Hop Information (2009, positive): “We adopt the packet reception rate (PRR) model [27] for lossy WSN links.”