MSNS: Mobile sensor network simulator for area coverage and obstacle avoidance based on GML

Eurasip Journal on Wireless Communications and Networking

Volumn 2012, Issue , 2012, Pages

  Jeong, Young Sik ^a   Han, Youn Hee ^b   Park, James J ^c   Lee, Sooyoung ^d  

^a Wonkwang University   (South Korea)

^b Korea University of Technology and Education   (South Korea)

^c Seoul National University of Science and Technology   (South Korea)

^d Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Connectivity; Mobile sensor network; Potential field; Visual coverage

Indexed keywords

COMMUNICATION RANGE; CONNECTIVITY; CONNECTIVITY DEGREE; COVERAGE RATE; GML (GEOGRAPHY MARKUP LANGUAGE); LOCATION INFORMATION; MOBILE SENSOR NETWORKS; MOBILE SENSOR NODE; MOBILE SENSORS; POTENTIAL FIELD; SELF-DEPLOYABLE; SELF-DEPLOYMENT; SENSING COVERAGE; SENSING RANGES; SIMULATION TIME; SUPERSONIC WAVE; VISUAL COVERAGES;

BODY SENSOR NETWORKS; COMMUNICATION; SENSOR NODES;

SENSOR NETWORKS;

EID: 84872858663     PISSN: 16871472     EISSN: 16871499     Source Type: Journal    
DOI: 10.1186/1687-1499-2012-95     Document Type: Article

References (16)

1. R Arkin, K Ali, Integration of reactive and telerobotic control in multi-agent robotic systems, in Third International Conference on Simulation of Adaptive Behavior, (SAB94) [From Animals to Animates], Brighton, England, pp. 473-478 (August 1994)
2. G Tan, SA Jarvis, A-M Kermarrec, Connectivity-guaranteed and obstacleadaptive deployment schemes for mobile sensor networks. in Proc of IEEE ICDCS 2008 429-437 (June 2008)
3. F Xue, PR Kumar, The number of neighbors needed for connectivity of wireless networks. Wirel Netw. 10(2), 169-181 (2004)
4. H-J Lee, Y-H Kim, Y-H Han, CY Park, Centroid-based movement assisted sensor deployment schemes in wireless sensor networks, in 2009 IEEE 70th Vehicular Technology Conference (September 2009)
5. C-W Lee, S-W Kim, H-J Lee, Y-H Han, D-S Park, Y-S Jeong, Visualization of the constrained coverage of mobile sensor networks based on GML, in 4th International Symposium on Cloud and Convergence Computing, Vancouver, Canada, pp. 603-608 (August 2009)
6. MA Goodrich, Potential fields tutorial. http://www.ee.byu.edu/ugrad/ srprojects/robotsoccer/papers/goodrich-potential-fields.pdf
7. A Howard, MJ Mataric, GS Sukhatme, Mobile sensor network deployment using potential fields: a distributed, scalable solution to the area coverage problem, in 6th International Symposium on Distributed Autonomous Robotics Systems (DARS02) (June 2002)
8. S Poduri, GS Sukhatme, Constrained coverage for mobile sensor networks, in IEEE International Conference on Robotics and Automation, New Orleans, LA, pp. 165-172 (2004)
9. J Chen, MB Salim, M Matsumoto, A single mobile target tracking in Voronoi-based clustered wireless sensor network. J Inf Process Syst. 6(4), 17-28 (2010)
10. G Wang, G Cao, TL Porta, Movement-assisted sensor deployment. IEEE INFOCOM 2004. 4, 2469-2479 (March 2004)
11. OpenGIS Consortium, Inc, Geography Markup Language [GML], 07-036-Geography-Markup-Language-GML-V3.2.1.pdf.
12. OpenGIS Location Service Core Services http://www.opengeospatial.org
13. Z Guo, S Zhou, Z Xu, A Zhou, G2ST: a novel method to transform GML to SVG, in Proceedings of the 11th ACM international symposium on Advances in geographic information systems, OpenGIS Consortium, Inc, pp. 161-168 (November 2003) http://www.opengeospatial.org/docs/02-023r4.pdf. Geography Markup Language (GML) Implementation Specification (Pubitemid 40730599)
14. S Shekhar, RR Vatsavai, N Sahay, TE Burk, S Lime, WMS and GML based interoperable web mapping system, in GIS: Geographic Information Systems, pp. 106-111 (2001)
15. M Cardei, MT Thai, Y Li, W Wu, Energy-efficient target coverage in wireless sensor networks, in Proc IEEE INFOCOM'. 3, 1976-1984 (2005) (Pubitemid 41390709)
16. KK Chintalapudi, A Dhariwal, R Govindan, GS Sukhatme, Ad-hoc localization using ranging and sectoring, in IEEE Info-communications (March 2004)