Mobility aware energy efficient congestion control in mobile wireless sensor network

International Journal of Distributed Sensor Networks

Volumn 2014, Issue , 2014, Pages

  Ahmad, Awais ^a   Jabbar, Sohail ^b   Paul, Anand ^a   Rho, Seungmin ^c  

^a Kyungpook National University   (South Korea)

^b Department of Computer Science COMSATS Institute of Information Technology ^*  (Pakistan)

^c Sungkyul University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY UTILIZATION; MEDIUM ACCESS CONTROL; TIME DIVISION MULTIPLE ACCESS;

COMPARATIVE ANALYSIS; ENERGY EFFICIENT CONGESTION CONTROL; MATHEMATICAL ANALYSIS; MOBILE SENSOR NODE (MSN); MOBILE WIRELESS SENSOR NETWORK; MOBILITY MANAGEMENT; NS-2 SIMULATIONS; TRAFFIC ENVIRONMENT;

SENSOR NODES;

EID: 84896460105     PISSN: 15501329     EISSN: 15501477     Source Type: Journal    
DOI: 10.1155/2014/530416     Document Type: Article

References (34)

1. Bergbreiter S., Pister K. S. J., CotsBots: an off-the-shelf platform for distributed robotics. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems October 2003 1632 1637 2-s2.0-0347409493
2. Zeinalipour-Yazti D., Papadakis H., Georgiou C., Dikaiakos M. D., Metadata ranking and pruning for failure detection in grids. Parallel Processing Letters 2008 18 3 371 390 2-s2.0-56049109561 10.1142/S0129626408003454
3. Hu L., Evans D., Localization for mobile sensor networks. Proceedings of the 10th Annual International Conference on Mobile Computing and Networking (MobiCom '04) October 2004 45 57 2-s2.0-11244273945
4. Zaidi Z. R., Mark B. L., Mobility estimation for wireless networks based on an autoregressive model. Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM '04) December 2004 3405 3409 2-s2.0-18144413542
5. Zorbas D., Douligeris C., Connected coverage in WSNs based on critical targets. Computer Networks 2011 55 6 1412 1425 2-s2.0-79953797686 10.1016/j.comnet.2010.12.023
6. Zorbas D., Razafindralambo T., Lilli I., Wireless sensor network redeployment under target coverage constraint. Proceedings of the 5th International Conference on Digital object IdentifierNew Technology, Mobility and Security (NTMS '12) 2012 1 5
7. Xu Y., Hiedemann J., Estrin D., Geography informed energy conservation for Ad Hoc routing. proceeding of the 7th annual ACM lst IEEE International Conference on Mobile computing and Networking (MobiCom '01) July 2001 Rome, Italy
8. Guo X., Frater M. R., Ryan M. J., A propagation-delay-tolerant collision avoidance protocol for underwater acoustic sensor networks. Proceedinsg of the Asia Pacific (OCEANS '06) May 2007 2-s2.0-50249091465 10.1109/OCEANSAP.2006. 4393849
9. Sokullu R., Donertas C., Combined effects of mobility, congestion and contention on network performance for IEEE 802.15.4 Based Networks. Proceedings of the 23rd International Symposium on Digital Object Identifier Computer and Information Science (ISCIS '08) 2008
10. Liu Y., Liu Y., Pu J., Xiong Z., A robust routing algorithm with fair congestion control in WSN. Proceedings of 17th International Conference on Digital Object Identifier Computer Communication and Networks (ICCCN '08) 2008 1 4
11. Khan M., Gansterer W., Haring G., Congestion avoidance and energy efficient routing protocol for wireless sensor networks with a mobile sink. Journal of Networks 2007 2 42 49
12. Chih-Lin I., Pollini G. P., Tree-search resource auction multiple access (TRAMA) protocol for wireless personal communications. Proceedings of the IEEE 44th Vehicular Technology Conference June 1994 1170 1174 2-s2.0-0028574029
13. Ahmed U., Hussain F. B., Energy efficient routing protocol for zone based mobile sensor networks. Proceedings of the 7th International Wireless Communications and Mobile Computing Conference (IWCMC '11) July 2011 1081 1086 2-s2.0-80052503345 10.1109/IWCMC.2011.5982691
14. Zou L., Lu M., Xiong Z., A distributed algorithm for the dead end problem of location based routing in sensor networks. IEEE Transactions on Vehicular Technology 2005 54 4 1509 1522 2-s2.0-24644443172 10.1109/TVT.2005.851327 (Pubitemid 41269158)
15. Das S. R., Perkins C. E., Royer E. M., Performance comparison of two on-demand routing protocols for ad hoc networks. 1 Proceedings of the 19th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM '00) 2000 3 12
16. Oh K., Woo S., Sung S., Kim K., Improved energy efficiency of DMAC with periodic full sleep cycle for wireless sensor networks with heavy traffics. Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP '07) December 2007 85 89 2-s2.0-51349153407 10.1109/ISSNIP.2007.4496824
17. Anastasi G., Conti M., Di Francesco M., Passarella A., Energy conservation in wireless sensor networks: a survey. Ad Hoc Networks 2009 7 3 537 568 2-s2.0-56449087483 10.1016/j.adhoc.2008.06.003
18. Wang X., Xing G., Zhang Y., Lu C., Pless R., Gill C., Integrated coverage and connectivity configuration in wireless sensor networks. Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys '03) November 2003 28 39 2-s2.0-18844371448
19. Chen B., Jamieson K., Balakrishnan H., Morris R., Span: an energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. Wireless Networks 2002 8 5 481 494 2-s2.0-0036739784 10.1023/A:1016542229220
20. Younis O., Fahmy S., HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing 2004 3 4 366 379 2-s2.0-10944266504 10.1109/TMC.2004.41 (Pubitemid 40010934)
21. Tao L., Yu F., ECODA: enhanced congestion detection and avoidance for multiple class of traffic in sensor networks. Proceedings of the 15th Asia-Pacific Conference on Communications (APCC '09) October 2009 726 730 2-s2.0-77949447202 10.1109/APCC.2009.5375498
22. Wang S. S., Chen Z. P., LCM: a link-aware clustering mechanism for energy-efficient routing in wireless sensor networks. IEEE Sensor Journal 2013 13 2
23. MICA2 Mote Datasheet, http://www.xbow.com/Products/Product-pdf-files/ Wireless
24. Pradhan S. S., Ramchandran K., Distributed source coding using syndromes (DISCUS): design and construction. IEEE Transactions on Information Theory 2003 49 3 626 643 2-s2.0-0037356065 10.1109/TIT.2002.808103
25. Tang C., Raghavendra C. S., Compression Techniques For Wireless Sensor Networks, Book Wireless Sensor Networks Kluwer Academic 2004
26. Wu M., Chen C. W., Multiple bit stream image transmission over wireless sensor networks 2006 Book Sensor Network Operations IEEE & Wiley Interscience
27. Xiong Z., Liveris A. D., Cheng S., Distributed source coding for sensor networks. IEEE Signal Processing Magazine 2004 21 5 80 94 2-s2.0-4544313438 10.1109/MSP.2004.1328091
28. Lee J.-S., Cheng W.-L., Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sensor Journal 2012 12 9
29. Ali M., Suleman T., Uzmi Z. A., MMAC: a mobility-adaptive, collision-free MAC protocol for wireless sensor networks. Proceedings of the 24th IEEE International Performance, Computing, and Communications Conference (IPCCC '05) April 2005 401 407 2-s2.0-28444472058
30. Lim J. S., Oppenheim A. V., Advanced Topics in Signal Processing 1987 Englewood Cliffs, NJ, USA Prentice Hall
31. Zaidi Z. R., Mark B. L., Thomas R. K., A two-tier representation of node mobility in ad hoc networks. Proceedings of the 1st Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (IEEE SECON '04) October 2004 153 161 2-s2.0-20344376404
32. Lim J. S., Oppenheim A. V., Advanced Topics in Signal Processing 1987 Englewood Cliffs, NJ, USA Prentice Hall
33. Feng K.-T., Huang Y.-Z., Lin J.-S., Design of MAC-Defined Aggregated ARQ Schemes For IEEE 802.11n Networks 2011 Springer, Wireless Network
34. Tsai A.-C., Paul A., Wang J.-C., Wang J.-F., Efficient intra prediction in H.264 based on intensity gradient approach. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS '07) May 2007 3952 3955 2-s2.0-34548829664