Understanding packet delivery performance in dense wireless sensor networks
By Jerry Zhao, Ramesh Govindan. ACM International Conference on Embedded Networked Sensor Systems, 2003
1,532 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/2d87c72119d07f294f22fd4986bf0c8968e632d3
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
- J. Stankovic
- David E. Culler
- Deborah Estrin
- Bhaskar Krishnamachari
- Ramesh Govindan
- Tian He
- Scott Shenker
- Hari Balakrishnan
In Electrical and Electronic Engineering
- Bhaskar Krishnamachari
- J. Stankovic
- Marco Zúñiga
- Kyle Jamieson
- David E. Culler
- Gang Zhou
- Tian He
- Ramesh Govindan
Citations in the corpus
- DEEJAM: Defeating Energy-Efficient Jamming in IEEE 802.15.4-based Wireless Networks (2007, background): “Even without an attacker, communication in wireless networks suffers from signal fading and reflections, interference from other networks, congestion, and environmental noise [24], [25], [26].”
- On k-coverage in a mostly sleeping sensor network (2004, background): “A multi-hop wireless sensor network exhibits high loss of packets [2, 20], and so it is necessary to ensure that k or more sensors detect an intruder to guarantee the reception of enough detection messages at the base station.”
- Radio link quality estimation in wireless sensor networks (2012, background): “Several studies analyzed the asymmetry of low-power links [Srinivasan et al. 2010a; Zhao and Govindan 2003; Reijers et al. 2004; Cerpa et al. 2003, 2005a; Ganesan et al. 2002; Tang et al. 2007; Zuniga and Krishnamachari 2007].”
- On Deploying Wireless Sensors to Achieve Both Coverage and Connectivity (2006, background): “may not hold in practice because the reliable communication range is often 60-80% of the claimed value [ 10 ].”
- Controllably mobile infrastructure for low energy embedded networks (2006, neutral): “experimental studies such as [41].”
- Geographic routing made practical (2005, background): “For context, we note that several measurement studies [1, 6, 27] have documented non-ideal radio behavior; however, ours is the first to quantify their impact”
- ATPC: adaptive transmission power control for wireless sensor networks (2006, background): “1It is still controversial whether RSSI or LQI is a better indicator on link quality [43] [29] [20].”
- Comparison of routing metrics for static multi-hop wireless networks (2004, background): “Zhao and Govindan [29]. studied packet delivery performance in sensor networks, and discovered that high signal strength implies low packet loss, but low signal strength does not imply high packet loss.”
- MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks (2006, background): “Currently, we do not consider radio irregularity and link asymmetry [36] [37] [38] [39], readers can refer to [40] [41] [42] for more information about reliability issues in broadcast.”
- Intelligent fluid infrastructure for embedded networks (2004, result): “This model does not hold in practice as is observed in several experimental studies such as [31].”
- Opportunities and Challenges of Wireless Sensor Networks in Smart Grid (2010, positive): “In [32], the authors observed a significant percentage of radio links suffering asymmetry when the communication distance is large or the transmit power is low, which was confirmed by other researchers [25], [31], [33].”
- Versatile low power media access for wireless sensor networks (2004, background): “Woo [21] and Zhao [24] have studied the volatility in link quality in wireless sensor networks.”
- Tributaries and deltas: efficient and robust aggregation in sensor network streams (2005, background): “To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior speci.c permission and/or a fee.”
- Radio wave propagation in potato fields (2005, background): “This so-called grayarea effect is observed by others as well [21, 22].”
- Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links (2009, background): “Second, unlike wired networks, wireless communication is notoriously unreliable [46].”
- An analysis of unreliability and asymmetry in low-power wireless links (2007, background): “Several studies ([1], [2], [3]) have classified low-power wireless links in three distinct reception regions: connected, transitional, and disconnected.”