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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Anagnostopoulos, Christos; Hadjiefthymiades, Stathes; Kolomvatsos, Kostas (2016)
Publisher: Association for Computing Machinery, Inc.
Languages: English
Types: Article
Subjects:
Identifiers:doi:10.1145/2882966
We present a robust, dynamic scheme for the automatic self-deployment and relocation of mobile sensor\ud nodes (e.g., unmanned ground vehicles, robots) around areas where phenomena take place. Our scheme aims\ud (i) to sense environmental contextual parameters and accurately capture the spatio-temporal evolution of a\ud certain phenomenon (e.g., fire, air contamination) and (ii) to fully automate the deployment process by letting\ud nodes relocate, self-organize (and self-reorganize) and optimally cover the focus area. Our intention is to\ud ‘opportunistically’ modify the previous placement of nodes to attain high quality phenomena monitoring. The\ud required intelligence is fully distributed within the mobile sensor network so that the deployment algorithm\ud is executed incrementally by different nodes. The presented algorithm adopts the Particle Swarm Optimization\ud technique, which yields very promising results as reported in the paper (performance assessment). Our\ud findings show that the proposed algorithm captures a certain phenomenon with very high accuracy while\ud maintaining the network-wide energy expenditure at low levels. Random occurrences of similar phenomena\ud put stress upon the algorithm which manages to react promptly and efficiently manage the available sensing\ud resources in the broader setting.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Akcan, H., Kriakov, V., Bronnimann, H., Delis, A., 'Managing Cohort Movement of Mobile Sensors via GPSfree & Compass-free Node Localization', Journal of Parallel and Distributed Computing, 70(7): 743-757, 2010.
    • Anagnostopoulos, C., Hadjiefthymiades, S., 'Enhancing Situation-Aware Systems through Imprecise Reasoning', IEEE Transactions on Mobile Computing, 7(10):1153-1168, Oct. 2008
    • Averill M. L., David Kelton, W., 'Simulation Modeling and Analysis', 3rd, McGraw-Hill, 0070592926, 2000.
    • Azlina, N., Aziz, A., Mohemmed, A. W., Zhang, M., 'Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks', LNCS 6025, pp. 51-60, Applications of Evolutionary Computation, 2010.
    • Bai, X., Xuan, D., Yun, Z., Lai, T. H., Jia, W., 'Complete optimal deployment patterns for full-coverage and k-connectivity (k 6) wireless sensor networks', 9th ACM MobiHoc08, pp.401-410, 2008.
    • Bartolini N., Calamoneri T., Fusco E., Massini A., Silvestri S., 'Snap and Spread: A Self-deployment Algorithm for Mobile Sensor Networks', Distributed Computing in Sensor Systems, LNCS 5067, pp. 451- 456, 2008.
    • Bulusu, N., Heidemann, J., Estrin, D., Tran, T., 'Self-configuring localization systems: Design and experimental evaluation', ACM Trans. Embed. Comput. Syst. 2004, 3, 24-60.
    • Cai, X., Cui, Y., Tan, Y., 'Predicted modified PSO with time-varying Accelerator coefficients', Int. J. of BioInspired Computation, 1(1/2):50-60, 2009.
    • Chakrabarty, K., Iyengar, S., Qi, H., Cho, E., 'Coding theory framework for target location in distributed sensor networks', In Proc. International Symposium on Information Technology: Coding and Computing, pp.130-134, 2001.
    • Chakrabarty, K., Iyengar, S., Qi, H., Cho, E., 'Grid coverage for surveillance and target location in distributed sensor networks', IEEE Trans. Comput. 51(12):1448-1453, 2002.
    • Chandy, K. M., Bunn, J. J., Liu, A. H., 'Models and Algorithm for Radiation Detection' Workshop on Grand Challenges in Modeling, Simulation, and Analysis for Homeland Security (MSAHS), Washington DC, 2010.
    • Cheng, R., Jin, Y. 'A Social Learning Particle Swarm Optimization Algorithm for Scalable Optimization', Information Sciences, 291: 43-60, 2015.
    • Cheng, R., Jin, Y. 'A Competitive Swarm Optimizer for Large Scale Optimization', IEEE Transactions on Cybernetics, 45(2): 191-204, 2015.
    • Cook, M., Franceschetti, M., Bruck, J., 'A geometric theorem for approximate disk covering algorithms', TR, California Inst. of Technology 2001.
    • Cortes J., Martinez S., Karatas T., Bullo F., 'Coverage control for mobile sensing networks', IEEE Transactions on Robotics and Automation, 20(2):243-255, April 2004.
    • Crepinsek, M., Liu, S.-H., Mernik, M., 'Exploration and Exploitation in Evolutionary Algorithms: A Survey', ACM Comput. Surv., 45(3):35:1-35:33, 2013.
    • Cui, H., Turan, O., 'Application of a new multi-agent hybrid co-evolution based particle swarm optimisation methodology in ship design', Computer-Aided Design, 42(11):1013-1027, 2010.
    • de A Campello, A.C., Jorge, G.C., Costa, S.I.R., 'Decoding q-ary lattices in the Lee metric', Information Theory Workshop (ITW), 2011 IEEE , pp.220-224, 2011
    • Deb, K., Padhye, N. 'Improving a Particle Swarm Optimization Algorithm Using an Evolutionary Algorithm Framework', KanGAL Tech. Report No.2010003, Feb. 2010.
    • Dhillon, S., Chakrabarty, K., 'Sensor placement for effective coverage and surveillance in distributed sensor networks', IEEE Wireless Communications and Networking, vol. 3, pp. 1609-1614, March 2003.
    • Dorigo, M., Di Caro, G., Gambardella, L. M., 'Ant Algorithms for Discrete Optimization', Artificial Life, 5(2):137-172, 1999.
    • Dorigo, M., Gambardella, L. M., 'Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem', IEEE Transactions on Evolutionary Computation, 1(1):53-66, 1997.
    • Eberhart, R. C., Kennedy, J., 'A new optimizer using particle swarm theory', 6th Symposium on Micro Machine and Human Science, pp. 39-43, 1995.
    • Eberhart, R. C., Shi, Y. H., 'Particle swarm optimization: Developments, applications and resources', IEEE Congress on Evolutionary Computation, vol. 1, pp. 81-86, 2001.
    • Elfes, A., 'Occupancy grids: A stochastic spatial representation for active robot perception', In Proc. 6th Conference on Uncertainty in AI, pp.60-70, 1990.
    • Esnaashari, M., Meybodi, M.R., 'A cellular learning automata-based deployment strategy for mobile wireless sensor networks', Journal of Parallel and Distributed Computing, 71(7):988-1001, 2011.
    • Gaojun Fan, Shiyao Jin, 'Coverage Problem in Wireless Sensor Network: A Survey', Journal of Networks, Academy Publisher, 5(9):1033-1040, Sept. 2010.
    • Garetto, M., Gribaudo, M., Chiasserini, C., Leonardi, E., 'A distributed sensor relocation scheme for environmental control', 4th IEEE Intl. Conf. on Mobile Ad-hoc and Sensor Systems (MASS 2007), 2007.
    • Gifford, C. M., Akers, E.L., Stansbury, R.S., Agah, A. 'Mobile Robots for Polar Remote Sensing', In Guarav S. Sukhatme (Ed.), The Path to Autonomous Robots, Springer-Verlag, Heidelberg, Germany, pp. 3-24, Feb. 2009.
    • Gifford, C.M., Finyom, G., Jefferson, M., Reid, M., Akers, E. L., Agah, A. 'Automated Polar Ice Thickness Estimation from Radar Imagery', IEEE Transactions on Image Processing, 19(9):2456-2469, Sept. 2010.
    • Goldenberg, D., Lin, J., Morse, A., Rosen, B., Yang, R., 'Towards mobility as a network control primitive', In Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing (MobiHoc '04). ACM, New York, NY, USA, 163-174, 2004.
    • Golomb, S., Welch, L., 'Perfect codes in the lee metric and the packing of polyominoes', SIAM J. Appl Math., 18:302-317, 1970
    • Huang, C-F., Tseng, Y-C., 'The coverage problem in a wireless sensor network', Mob. Netw. Appl., 10(4):519- 528, August 2005
    • Helm, I., Jalukse, L., Leito, I. 'Measurement uncertainty estimation in amperometric sensors: a tutorial review', Sensors (Basel), 10(5):4430-55, Apr 2010.
    • Heo, N., Varshney, P.K., 'Energy-efficient deployment of Intelligent Mobile sensor networks, IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 35(1):78-92, Jan. 2005.
    • Hernandez, V. B., Lilienthal, A.J., Neumann, P., Trincavelli, M. 'Mobile robots for localizing gas emission sources on landfill sites: is bio-inspiration the way to go?' Frontiers in Neuroengineering, 4(0), 2012.
    • Hernandez, V.B., Schaffernicht, E., Pomareda. V., Lilienthal, A.J., Marco, S., Trincavelli, M. 'Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds', Sensors, (Basel, Switzerland), 14(9):17331-17352, 2014.
    • Kar, K., Banerjee, S., 'Node Placement for Connected Coverage in Sensor Networks', In WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2003.
    • Karaboga, D., 'An Idea Based On Honey Bee Swarm for Numerical Optimization', Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
    • Karaboga, D., Akay, B., 'A comparative study of Artificial Bee Colony algorithm', Applied Mathematics and Computation, 214:108-132, 2009.
    • Kennedy, J., Eberhart, R. C., 'Particle swarm optimization', IEEE Conference on Neural Networks,4:1942- 1948, 1995.
    • Kulkarni, R. V., Venayagamoorthy, G. K., 'Particle Swarm Optimization in Wireless Sensor Networks: A Brief Survey', IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 41(2):262-267, March 2011.
    • Kumar, N., Gunopulos, D., Kalogeraki, V., 'Sensor Network Coverage Restoration', V. Prasanna et al. (Eds.), Im DCOSS 2005, LNCS 3560, p. 409, 2005.
    • Labella, T. H., Fuchs, G., Dressler, F.,'A simulation model for self-organized management and sensor/actuator networks', GI/ITG KuVS Fachgesprch Selbstorganisierende, Adaptive, Kontextsensitive verteilte Systeme, SAKS 2006.
    • Li X., Frey H., Santoro N., Stojmenovic I., 'Strictly localized sensor self-deployment for optimal focused coverage', IEEE Transactions on Mobile Computing, no.99, Dec. 2010, 10.1109/TMC.2010.261.
    • Li, X., Nayak, A., Simplot-Ryl, D., Stojmenovic, I., 'Sensor Placement in Sensor and Actuator Networks', Wireless Sensor and Actuator Networks, John Wiley & Sons, Inc., 263-294, 2010.
    • Li, Y-L., Shao,W., You, L., Wang, B-Z. 'An Improved PSO Algorithm and Its Application to UWB Antenna Design', Antennas and Wireless Propagation Letters, IEEE , vol. 12, pp.1236-1239, 2013.
    • Liang, S., Song, S., Kong, L., Cheng, J., 'An Improved Particle Swarm Optimization Algorithm and its Convergence Analysis', 2nd Intl. Conf. Computer Modeling and Simulation (ICCMS '10), vol.2, pp.138-141, 2010.
    • Manolakos, E., Manatakis, D., Xanthopoulos, G., 'Temperature field modelling and simulation of wireless sensor network behaviour during a spreading wildfire', European Signal Processing Conference (EUSIPCO 2008), August 2008.
    • Marengoni, M., Draper, B. A., Hanson, A., Sitaraman, R. A., 'A System to Place Observers on a Polyhedral Terrain in Polynomial Time', Image and Vision Computing, 18:773, De. 1996.
    • Megerian S., Koushanfar F., Potkonjak M., Srivastava M.B., 'Worst and best-case coverage in sensor networks', IEEE Transactions on Mobile Computing, 4(1):84-92, Jan.-Feb. 2005.
    • Meguerdichian, S., Koushanfar, F., Potkonjak, M., Srivastava, M. B., 'Coverage problems in wireless ad-hoc sensor networks', IEEE INFOCOM 2001, vol.3, pp. 1380-1387, 2001.
    • F. Mondada, G. C. Pettinaro, A. Guignard, I. W. Kwee, D. Floreano, J-L Deneubourg, S. Nolfi, L. M. Gambardella, M. Dorigo, 'Swarm-Bot: A New Distributed Robotic Concept', Autonomous Robots, 17(2-3):193- 221, Sept. 2004.
    • Montalvo, I., Izquierdo, J., Perez-Garcia, R., Herrera, M., 'Improved performance of PSO with self-adaptive parameters for computing the optimal design of water supply systems', Engineering Applications of Artificial Intelligence, 23(5):727-735, Aug. 2010.
    • Paterson, M., Fowler, R., Tanimoto, S., 'Optimal packing and covering in the plane are NP complete', Information Processing Letters, 12(3):133-137, 1981.
    • Pan, D., Liu, Z. 'An Improved Particle Swarm Optimization Algorithm', Emerging Research in Artificial Intelligence and Computational Intelligence, Communications in Computer and Information Science, Vol. 237, pp. 550-556, 2011.
    • Razzaque, M., Dobson, S., 'Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing', Sensors 2014, 14, 2822-2859.
    • Savvides, A., Han, C.C.l Srivastava, M. B.l 'Dynamic Fine Grained Localization in Ad-Hoc Sensor Networks', MobiCom'01, pp. 166-179, 2001.
    • Sayed-Mouchaweh, M., Lughofer, E., 'Learning in Non-Stationary Environments: Methods and Applications', DOI 10.1007/978-1-4419-8020-5 4, Springer Science+Business Media, New York, 2012.
    • Sekkas, O., Hadjiefthymiades, S., Zervas, E. 'A Multi-level Data Fusion Approach for Early Fire Detection', 1st International Workshop on Computational Intelligence for Disaster Management (CIDM-2010), 2010.
    • Shi, Y., Eberhart, R. C., 'A modified particle swarm optimizer', IEEE World Congress on Computational Intelligence, pp. 69-73, 1998.
    • Shi, Y., Eberhart, R. C., 'Empirical study of particle swarm optimization', IEEE Congress on Evolutionary Computation, pp. 1945-1950, 1999.
    • Solis, F., Wets., R., 'Minimization by Random Search Techniques', Mathematics of Operations Research, 6:19-30, 1981.
    • Chiping, T., McKinley, P.K., 'Energy Optimization under Informed Mobility', Parallel and Distributed Systems, IEEE Transactions on , vol.17, no.9, pp.947-962, Sept. 2006
    • Tu, Z., Wang, Q., Qi, H., Shen, Y., 'Flocking based distributed self-deployment algorithms in mobile sensor networks', Journal of Parallel and Distributed Computing, 72(3):437-449, March 2012.
    • Wan, P.J., Yi, C.W., 'Coverage by randomly deployed wireless sensor networks', IEEE Transactions on Information Theory, 52(6):265-2669, June 2006.
    • Wang, B., 'Coverage Control in Sensor Networks', Computer Communications and Networks, Ed.1, 1617- 7975, Springer Verlag, 2010.
    • Wang, G., Cao, G., La Porta T., Zhang, W., 'Sensor relocation in mobile sensor networks', INFOCOM 2005, vol.4, pp.2302-2312, 2005.
    • Wang, G., Cao, G., La Porta, T. F., 'Movement-Assisted Sensor Deployment', IEEE Transactions on Mobile Computing, 5(6):640-652, June 2006.
    • Wang, L., Xu, Q. 'GPS-Free Localization Algorithm for Wireless Sensor Networks', Sensors 2010, 10, 5899- 5926
    • Wang, X., Ma, J., Wang, S., Bi, D., 'Distributed Energy Optimization for Target Tracking in Wireless Sensor Networks', IEEE Transactions on Mobile Computing, 9(1):73-86, Jan. 2010.
    • Wang, X., Wang, S., Junjie, M., 'Dynamic Deployment Optimization in Wireless Sensor Networks', Intelligent Control and Automation, LNCIS 344, pp. 182-187, 2006.
    • Wang, X., Wang, S., Ma, J.-J., 'An Improved Co-evolutionary Particle Swarm Optimization for Wireless Sensor Networks with Dynamic Deployment', Sensors, 2007, 7(3):354-370.
    • Wang, Y.-C., Hu, C.-C., Tseng, Y.-C., 'Efficient Placement and Dispatch of Sensors in a Wireless Sensor Network', IEEE Transactions on Mobile Computing, 7(2):262-274, Feb. 2008.
    • Williams, R., 'The geometrical foundation of natural structure', Dover Publications, 1979.
    • Wu, H., Wang, C., Tzeng, N.F., 'Novel self-configurable positioning technique for multi-hop wireless networks', IEEE/ACM T. Network 2005, 13, 609-621.
    • Wu, P., Gao, L., Zou, D., Li, S. 'An improved particle swarm optimization algorithm for reliability problems', ISA Transactions, 50(1):71-81, Jan. 2011.
    • Xiao, Y., Chen, H., KuiWu, W., Sun, B., Liu, C., 'Modeling Detection Metrics in Randomized Scheduling Algorithm in Wireless Sensor Networks', IEEE Wireless Communications and Networking Conference, pp. 3741-3745, March 2007.
    • Xing, G., Wang, X., Zhang, Y., Lu, C., Pless, R., Gill, C., 'Integrated coverage and connectivity configuration for energy conservation in sensor networks', ACM Trans. Sensor Networks, 1(1):36-72, August 2005.
    • Xu, K., Takahara, G., Hassanein, H., 'On the robustness of grid-based deployment in wireless sensor networks', ACM Conference on Wireless communications and mobile computing (IWCMC '06), pp. 1183- 1188, 2006.
    • Yang, S., Dai, F., Cardei, M., Wu, J., Patterson, F., 'On connected multiple point coverage in wireless sensor networks', International Journal of Wireless Information Networks, 13(4):289-301, 2006.
    • Yongguo, M., Yung-Hsiang, L., Hu, Y.C., Lee, C.S.G., 'A case study of mobile robot's energy consumption and conservation techniques', Advanced Robotics. ICAR '05. Proceedings., 12th International Conference on, pp.492-497, 2005.
    • Younis, O., Fahmy, S., 'HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks', IEEE Transactions on Mobile Computing, 3(4): 366-379, Oct. 2004.
    • Yu, K., Montillet, J.P., Rabbachin, A., Cheong, P., Oppermann, I. UWB location and tracking for wireless embedded networks. Signal Process. 2006, 86, 2153-2171.
    • Zervas, E., Mpimpoudis, A., Anagnostopoulos, C., Sekkas, O., Hadjiefthymiades, S., 'Multisensor Data Fusion for Fire Detection', Information Fusion Journal, Elsevier, 12(3):150-159, July 2011.
    • Zhan, Z.-H., Zhang, J., Li, Y., Chung, S.-H., 'Adaptive Particle Swarm Optimization', IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 39(6):1362-1381, 2009.
    • Zhang, H., Hou, J. 1Maintaining Sensing Coverage and Connectivity in Large Sensor Networks', Ad Hoc & Sensor Wireless Networks, 1(1-2), 2005.
    • Zou, Y., Chakrabarty, K., 'A distributed coverage- and connectivity- centric technique for selecting active nodes in wireless sensor networks', IEEE Transactions on Computers, 54(8): 978-991, 2005.
    • Zou, Y., Chakrabarty, K., 'Sensor deployment and target localization in distributed sensor networks', ACM Transactions on Embedded Computing Systems, 3(1): 61-91, Feb. 2004.
    • Zou, Y., Chakrabarty, K., 'Sensor deployment and target localization based on virtual forces', In Proc. IEEE INFOCOM'03, Mar.-Apr. 2003, pp. 1293-1030.
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