Next century challenges: scalable coordination in sensor networks
By Deborah Estrin, Ramesh Govindan, John S. Heidemann, Satish Kumar. 1999
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ian F. Akyildiz
- Bhaskar Krishnamachari
- Mohamed F. Younis
- Deborah Estrin
- Ossama Younis
- Kemal Akkaya
- Jean-Pierre Hubaux
- Azzedine F. M. Boukerche
Citations in the corpus
- Over-the-air Function Computation in Sensor Networks (2016, background): “The last decade has seen significant advances in sensor technologies and protocols, which has led to interest in large sensor deployments for monitoring various physical quantities such as temperature, pressure, humidity, etc. [29, 9].”
- Node localization using mobile robots in delay-tolerant sensor networks (2005, background): “I NTRODUCTION Recent years have witnessed a boom in sensor networks research [1], [2] and commercial activities[3].”
- Application-specific protocol architectures for wireless networks (2000, background): “Researchers have begun discussing not only the uses and challenges facing sensor networks [5, 27, 73], but also have been developing preliminary ideas as to how these networks should function [19, 22, 40, 48] as well as the appropriate low-energy architecture for the sensor nodes themselves [17, 25,”
- Optimizing Sensor Networks in the Energy-Latency-Density Design Space (2002, methodology): “Optimizing Sensor Networks in the Energy-Latency-Density Design Space Curt Schurgers, Student Member, IEEE, Vlasios Tsiatsis, Student Member, IEEE, Saurabh Ganeriwal, and Mani Srivastava, Senior Member, IEEE AbstractÐIn wireless sensor networks, energy efficiency is crucial to achieving satisfactory”
- On deriving the upper bound of α-lifetime for large sensor networks (2004, methodology): “Second, we derive, given a .xed node density in a .nite (but reasonably large) region, the upper bounds of lifetime when only a-portion of the region is required to be covered at any time.”
- JAM: a jammed-area mapping service for sensor networks (2003, background): “Environmental monitoring, battlefield intelligence, emergency response support, and real-time data fusion and collection are among their frequently cited applications [2, 12, 14, 8].”
- ACE: An Emergent Algorithm for Highly Uniform Cluster Formation (2004, methodology): “Some examples of these protocols include routing protocols [14, 23], protocols for reliable broadcast [19, 20], data aggregation [10, 26], and query processing [6].”
- Analysis of energy consumption and lifetime of heterogeneous wireless sensor networks (2002, background): “While it is tempting to simply apply existing research in wireless networks to sensor networks, sensor networks have enough particular characteristics and challenges to justify their specific study [2].”
- On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage (2006, unknown): “Works such as the EYES project (Karl 2002), WINS (Estrin et al. 1999), and Smart Dust (Kahn et al. 1999), are examples of systems implementing such networks.”
- Research challenges in wireless networks of biomedical sensors (2001, background): “[11] have proposed a communication model called directed di usion for scalable co-ordination in sensor”
- The impact of data aggregation in wireless sensor networks (2002, background): “The applications, networking principles and protocols for these systems are just beginning to be developed [2, 4, 8, 11].”