Distributed algorithms for guiding navigation across a sensor network

By Qun Li, Michael DeRosa, Daniela Rus. ACM/IEEE International Conference on Mobile Computing and Networking, 2003

357 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Coverage, Exploration and Deployment by a Mobile Robot and Communication Network (2003, methodology): “We note that our approach for navigation is similar to [15], which uses potential (cid:12)elds whereas we use value iteration.”
Teamwork in Self-Organized Robot Colonies (2009, methodology): “[50] use a similar approach with 50 sensors of the Mote platform and take into account so-called danger zones which have to be avoided.”
Clock synchronization for wireless sensor networks: a survey (2005, methodology): “A huge surge of interest in this ﬁeld has been triggered by applications in domains as diverse as military [16], environmental [7,8,63], medical [33], scientiﬁc [1,5,39,60,72,73 and industrial, civilian, and home networks [9,33,41,69,70], as shown in Table 1.”
Path planning in GPS-denied environments via collective intelligence of distributed sensor networks (2016, background): “[10] present the use of sensor networks as adaptive repositories of information for guiding an autonomous robot by creating a map to dangerous areas (e.”
Hardware design experiences in ZebraNet (2004, methodology): “In laboratory experiments, Motes are often used to evaluate protocols and sensor network behavior [8][18][21].”
Movement-assisted sensor deployment (2004, unknown): “[18] studied the problem in sensor networks.”