Optimization of service discovery in wireless sensor networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6074 LNCS, Issue , 2010, Pages 351-362

  Chakraborty, Ayon ^a   Lahiri, Kaushik ^b   Mandal, Subhajit ^a   Patra, Deepankar ^a   Naskar, Mrinal K ^a   Mukherjee, Amitava ^b  

^a JADAVPUR UNIVERSITY   (India)

^b IBM INDIA RESEARCH LAB   (India)

Author keywords

NesC; PSO; Service Discovery; Simulated Annealing; TOSSIM; WSN

Indexed keywords

CONVENTIONAL APPROACH; NEIGHBORHOOD CHANGE; NESC; NEW APPROACHES; OSD ALGORITHM; SERVICE DISCOVERY; SERVICE PROVIDER; SIGNAL STRENGTHS;

COMPUTER SIMULATION; INTERNET; SENSOR NETWORKS; SIMULATED ANNEALING; UBIQUITOUS COMPUTING;

WIRELESS SENSOR NETWORKS;

EID: 77953758824     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13315-2_29     Document Type: Conference Paper

References (13)

1. Weiser, M.: The Computer for the Twenty-First Century. Scientific Am. 265(3), 94-101 (1991)
2. Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: The proceedings of the Sixth International Symposium on Micro machine and Human Science Nagoya, Japan, pp. 39-43 (1995)
3. Shi, Y.H., Eberhart, R.C.: A modified particle swarm optimizer. In: IEEE International Conference on Evolutionary Computation, pp. 63-73 (1998)
4. Chaojun, D., Zulian, Q.: Particle Swarm Optimization Algorithm Based on the Idea of Simulated Annealing. IJCSNS International Journal of Computer Science and Network Security 6(10) (October 2006)
5. Gay, D., Levis, P., Behren, R., Welsh, M., Brewer, E., Culler, D.: The nesC language - A holistic approach to networked embedded systems. ACM SIGPLAN Notices archive 38(5) (May 2003)
6. Levis, P., et al.: TinyOS - An Operating System for Sensor Networks. In: Ambient Intelligence. Springer, Heidelberg (2005)
7. Levis, P., Lee, N., Welsh, M., Culler, D.: TOSSIM: Accurate and Scalable Simulation of Entire TinyOS
8. Lenders, V., May, M., Plattner, B.: Service discovery in mobile ad hoc networks: A field theoretic approach. In: Pervasive and Mobile Computing. Elsevier, Amsterdam (2005)
9. Lim, J.C., Wong, K.D.: Exploring Possibilities for RSSI-Adaptive Control in Mica2-based Wireless Sensor Networks. In: ICARV 2006 (2006)
10. Kirkpatrick, S., Sorkin, G.B.: Simulated Annealing. In: The Handbook of Brain and Neural Networks. The MIT Press, Cambridge (1995)
11. Hao, Z.-F., Wang, Z.-G., Huang, H.: A Particle Swarm Optimization Algorithm with Crossover Operator. In: International Conference on Machine Learning and Cybernetics 2007, pp. 19-22 (August 2007)
12. Rabiner, W., Heinzelman, Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Micro sensor Networks. In: The proceedings of the 33rd Hawaii International Conference on System Sciences (2000)
13. Whitehouse, K., Karlof, C., Culler, D.: A practical evaluation of radio signal strength for ranging-based localization. SIGMOBILE Mob. Comput. Commun. Rev. 11(1), 41-52 (2007)