Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chandrakanth, H. G.
- Research Challenges and Characteristic Features in Wireless Sensor Networks
Abstract Views :212 |
PDF Views:2
Authors
Affiliations
1 Sambhram Institute of Technology, Bangalore, IN
2 Rajiv Gandhi Institute of Technology, VTU, Belagavi, Karnataka, IN
1 Sambhram Institute of Technology, Bangalore, IN
2 Rajiv Gandhi Institute of Technology, VTU, Belagavi, Karnataka, IN
Source
International Journal of Advanced Networking and Applications, Vol 9, No 1 (2017), Pagination: 3321-3328Abstract
Wireless Sensor Networks have come to the forefront of the scientific community recently and it consists of small nodes with sensing, Communications and computing capabilities. The Wireless Sensor Network Systems can be applied to monitor different environments ranging from military to civil applications. It is observed that different protocols necessary for smooth functioning of the network system are highly application specific. Current WSNs typically communicate directly with a centralized controller or satellite. In this paper we survey the different research challenges in Wireless Sensor Networks and purpose of various research Challenges activities is the development of a framework, which is radically simplifies the development of software for sensor network applications and characteristic Features of Sensor Networks.Keywords
Wireless Sensor Network, Research Challenge, Characteristic Features.Full Text
References
- I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A survey on sensor networks”, IEEE Communications Magazine, Vol. 40, No. 8, pp. 102-114, August 2002.
- M. Haenggi, “Opportunities and Challenges in Wireless Sensor Networks,” in Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, M. Ilyas and I. Mahgoub, eds., Boca Raton, FL, pp. 1.1–1.14, CRC Press, 2004.
- C. Lu, B. Blum, T. Abdelzaher, J. Stankovic, and T. He, RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks, RTAS, June 2002.
- T. He, J. Stankovic, C. Lu, and T. Abdelzaher, SPEED: A Stateless Protocol for Real-Time Communication in Ad Hoc Sensor Networks, IEEE ICDCS, May 2003.
- R. Bronson and G. Naadimuthu, Operations Research, 2 ed., Schaum’s Outlines, McGraw Hill, New York, 1997.
- Wood, A., Stankovic, J., and Son, S. JAM: A mapping service for jammed regions in sensor networks. In Proceedings of the IEEE Real-Time Systems Symposium (Cancun, Mexico, Dec. 3–5, 2003).
- A. Wood and J. Stankovic, Denial of Service in Sensor Networks, IEEE Computer, Vol. 35, No. 10, October 2002, pp. 54-62.
- A. Perrig, J. Stankovic, and D. Wagner, Security in Wireless Sensor Networks, invited paper, CACM, Vol. 47, No.6, June 2004, pp. 53-57.
- T.-S. Chen, C.-Y. Chang, and J.-P. Sheu, “Efficient pathbased multicast in wormhole-routed mesh networks,” J. Sys. Architecture, vol. 46, pp. 919-930, 2000.
- A. Goldsmith and S. Wicker, “Design challenges for energy-constrained ad hoc wireless networks,” IEEE Wireless Communications Magazine, vol. 9, pp. 8–27, Aug. 2002.
- L. Yuan and G. Qu, “Energy-efficient Design of Distributed Sensor Networks,” in Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, M. Ilyas and I. Mahgoub, eds., Boca Raton, FL,pp. 38.1–38.19, CRC Press, 2004.
- C. Schurgers, O. Aberthorne, and M. Srivastava, “Modulation scaling for energy aware communication systems,” in Proceedings of the 2001 International Symposium on Low Power Electronics and Design, Huntington Beach, CA, pp. 96–99, Aug. 2001.
- A.P. Chandrakasan, R. Min, M. Bhardwaj, S. Cho, and A. Wang, “Power aware wireless microsensor systems,” in 28th European Solid-State Circuits Conference (ESSCIRC’02), Florence, Italy, 2002.
- S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M. Srivastava, “Coverage problems in wireless ad-hoc sensor networks,” in Proceedings of the 20th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM’01), vol. 3, Anchorage, AK, pp. 1380–1387, Apr. 2001.
- N. Reijers and K. Loangendoen, “Efficient code distribution in wireless sensor networks,” in Second ACM International Workshop on Wireless Sensor Networks and Applications, San Diego, CA, Sept. 2003.
- D. Ganesan, R. Govindan, S. Shenker, and D. Estrin, “Highly resilient, energy efficient multipath routing in wireless sensor networks,” in Proceedings of the 2nd ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc’01), Long Beach, CA, pp. 251–254, 2001.
- M. Mauve, H. Hartenstein, H. Fuessler, J.Widmer, and W. Effelsberg, “Positionsbasiertes Routing fuer die Kommunikation zwischen Fahrzeugen,” it—Information Technology (formerly it + ti)—Methoden und innovative Anwendungen der Informatik und Informationstechnik, vol. 44, pp. 278–286, Oct. 2002.
- F. Sivrikaya and B. Yener, “Time synchronization in sensor networks: A survey,” IEEE Network, vol. 18, pp. 45–50, July–Aug. 2004.
- R.C. Shah, S. Roy, S. Jain, and W. Brunette, “Data MULEs: Modeling and analysis of a three-tier architecture for sparse sensor networks,” in Ad Hoc Networks Journal, vol. 1, pp. 215–233, Elsevier, Sept. 2003.
- A. Chakrabarti, A. Sabharwal, and B. Aazhang, “Using predictable observer mobility for power efficient design of sensor networks,” in Information Processing in Sensor Networks (IPSN’03), Palo Alto, CA, Apr. 2003.
- M. Haenggi, “Twelve Reasons not to Route over Many Short Hops,” in IEEE Vehicular Technology Conference (VTC’04 Fall), Los Angeles, CA, Sept. 2004.
- M. Haenggi, “Opportunities and Challenges in Wireless Sensor Networks,” in Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, M. Ilyas and I. Mahgoub, eds., Boca Raton, FL,pp. 1.1–1.14, CRC Press, 2004.
- M. Haenggi, “Energy-Balancing Strategies for Wireless Sensor Networks,” in IEEE International Symposium on Circuits and Systems (ISCAS’03), Bangkok, Thailand, May 2003.
- O. Younis and S. Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad-hoc Sensor Networks,” in IEEE Transactions on Mobile Computing, vol. 3, pp. 366–379, 2004
- R. Govindan, J. Hellerstein, W. Hong, S. Madden, M. Franklin, and S. Shenker, “The Sensor Network as a Database,” Tech. Rep. 02–771, University of Southern California, 2002. ftp://ftp.usc.edu/pub/csinfo/tech-reports/papers/02-771.pdf.
- F. Stajano and R. Anderson, “The resurrecting duckling: Security issues for ad-hoc wireless networks,” in 7th International Workshop on Security Protocols, Cambridge, UK, Apr. 1999.
- Security in Wireless Sensor Networks: Issues and Challenges, Al-Sakib Khan Pathan, Hyung-Woo Lee, Choong Seon Hong, ISBN 89-5519-129-4 Feb. 20-22, 2006 ICACT2006.
- A Survey of Localization inWireless Sensor Network, Long Cheng,ChengdongWu, Yunzhou Zhang,HaoWu, Mengxin Li, and CarstenMaple, Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2012, Article ID 962523, 12 pages doi:10.1155/2012/962523.
- New Technique of Wireless Sensor Networks Localization based on Energy Consumption, Anouar Abdelhakim Boudhir Bouhorma Mohamed Ben Ahmed Mohamed, International Journal of Computer Applications (0975 – 8887) Volume 9–No.12, November 2010.
- Challenges in Maximizing the Life of Wireless Sensor Network
Abstract Views :119 |
PDF Views:0
Authors
Affiliations
1 Sri Krishna Institute of Technology, Bangalore, Karnataka, IN
2 Jawaharlal Nehru Technological University, College of Engineering, Pulivendula, Andhra Pradesh, IN
1 Sri Krishna Institute of Technology, Bangalore, Karnataka, IN
2 Jawaharlal Nehru Technological University, College of Engineering, Pulivendula, Andhra Pradesh, IN
Source
International Journal of Advanced Networking and Applications, Vol 3, No 1 (2011), Pagination: 999-1005Abstract
A Wireless Sensor Network is a wireless network that consists of spatially distributed devices called sensor nodes. Each node monitors physical or environmental conditions and communicate with nearby nodes via radio broadcast (network). Research in WSNs has become an extensive explorative area during the last few years, especially due to the challenges offered, energy constraints of the sensors being one of them. Reducing energy consumption of individual sensors in such networks and obtaining the expected standard of quality in the solutions provided by them is a major challenge. The questions how a wireless sensor network’s lifetime can be increased and what are the constraints in improving the operational efficiency are motivating. Specifically, we will focus primarily on different protocols which represent the most suitable technique for energy saving. Moreover, we will also survey in-network processing which can guarantee a significant amount of energy saving. Finally, we will make a review on some communication protocols proposed for sensor networks.Keywords
Wireless Sensor Network, Sensor Node, Energy Consumption of Sensor Node, Energy Conservation.Full Text
- Energy Efficient Routing Clustering Algorithms For Wireless Sensor Networks
Abstract Views :169 |
PDF Views:0
Authors
Affiliations
1 Sambhram Institute of Technology, Bangalore, VTU Belagavi Karnataka, IN
1 Sambhram Institute of Technology, Bangalore, VTU Belagavi Karnataka, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No 3 (2018), Pagination: 3880-3887Abstract
Wireless Sensor Networks have come to the forefront of the scientific community recently and it consists of small nodes with sensing, Communications and computing capabilities. The Wireless Sensor Network Systems can be applied to monitor different environments. In WSN, sensor nodes play the most prominent role. These sensor nodes batteries are replacing or recharging is impossible, it is essential to find energy efficient routing algorithm. In this paper, we survey the features / characteristics and different well-know energy efficient cluster routing algorithms for WSNs have been classified and presented based on their characteristics.Keywords
Wireless Sensor Networks (WSN), Clustering, Energy Efficiency, Distributed Cluster Routing Algorithms, Centralized Cluster Routing Algorithms, Uni-Form Distribution.Full Text
References
- I. F. Akyildiz, S. Weilian, Y. Sankarasubramaniam, and E. Cayirci, “A Survey on Sensor Networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102–114, 2002.
- W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks,” in 33rd Annual Hawaii International Conference on System Sciences, 2000.
- M. M. Zanjireh, A. Shahrabi, and H. Larijani, “ANCH: A New Clus-tering Algorithm for Wireless Sensor Networks,” in 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 450–455, IEEE, 2013.
- M. Mathew and N. Weng, “Quality of Information and Energy Efficiency Optimization for Sensor Networks via Adaptive Sensing and Transmit-ting,” IEEE Sensors Journal, vol. 14, pp. 341–348, February 2014.
- G. Anastasi, A. Falchi, A. Passarella, M. Conti, and E. Gregori, “Performance Measurements of Motes Sensor Networks,” in 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), (Venice, Italy), pp. 174–181, ACM, 2004
- Karl, H., & Willig, A. (2005). Protocols and architectures for wireless sensor networks. Hoboken, NJ: Wiley.
- Chan, H., & Perrig, A. (2004). ACE: An emergent algorithm for highly uniform cluster formation. In Wireless Sensor Networks. Lecture Notes in Computer Science, Vol. 2920, pp. 154–171.
- Low, C. P., Fang, C., Ng, J. M., & Ang, Y. H. (2008). Efficient load-balanced clustering algorithms for wireless sensor networks. Computer Communications, 31(4), 750–759.
- Manjeshwar, A., & Agrawal, D. P. (2002). APTEEN: A hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In Proceedings International Parallel and Distributed Processing Symposium, IPDPS 2002 (pp. 195–202).
- Gu, Y., Wu, Q., & Rao, N. S. V. (2010). Optimizing cluster heads for energy efficiency in large-scale heterogeneous wireless sensor networks. International Journal of Distributed Sensor Networks. doi:10.1155/2010/961591.
- Rajkumar, Dr H G Chandrakanth, Dr D G Anand, and Dr T John Peter.” Research Challenges and Characteristic Features in Wireless Sensor Networks”, in Int. J. Advanced Networking and Applications, Volume: 09 Issue: 01 Pages: 3321-3328 (2017) ISSN: 0975-0290.
- Tarannum, S., Srividya, S., Asha, D. S., Padmini, R., Nalini, L., Venugopal, K. R., et al. (2008). Dynamic hierarchical communication paradigm for Wireless Sensor Networks: A centralized, energy efficient approach. In 11th IEEE Singapore International Conference on Communication Systems, Singapore (pp. 959–963).
- Ci, S., Guizani, M., & Sharif, H. (2007). Adaptive clustering in wireless sensor networks by mining sensor energy data. Computer Communications, 30(14–15), 2968–2975.
- Huang, Y. F., Luo, W. H., Sum, J., Chang, L. H., Chang, C. W., & Chen, R. C. (2007). Lifetime Performance of an energy efficient clustering algorithm for cluster-based wireless sensor networks. In Frontiers of High Performance Computing and Networking ISPA 2007 Workshops. Lecture Notes in Computer Science, Vol. 4743, pp. 455–464.
- M. M. Zanjireh, H. Larijani, and W. O. Popoola, “Energy Based Analytical Modelling of ANCH Clustering Algorithm for Wireless Sensor Networks,” International Journal On Advances in Networks and Services, vol. 7, no. 3&4, pp. 173–182, 2014.
- O. Younis and S. Fahmy, “HEED: A Hybrid, Energy-Efficient, Dis-tributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 366–379, 2004.
- M. Ilyas and I. Mahgoub, Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems. CRC press, 2004.
- L. Benyuan, O. Dousse, P. Nain, and D. Towsley, “Dynamic Cover-age of Mobile Sensor Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 24, pp. 301–311, February 2013.
- O. Younis, M. Krunz, and S. Ramasubramanian, “Location-unaware coverage in wireless sensor networks,” Ad Hoc Networks, vol. 6, no. 7, pp. 1078– 1097, 2008.
- Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–379.
- Manjeshwar, A., & Agrawal, D. P. (2001). TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In Proceedings of the 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, San Francisco, CA (pp. 2009-2015).
- Ye, M., Li, C., Chen, G., & Wu, J. (2005). EECS: An energy efficient clustering scheme in wireless sensor networks. In 24th IEEE International Performance, Computing, and Communications Conference, IPCCC 2005 (pp. 535–540).
- Kamimura, J., Wakamiya, N., & Murata, M. (2006). A distributed clustering method for energy-efficient data gathering in sensor networks. International Journal of Wireless and Mobile Computing, 1(2), 113–120.
- Zhang, M., Gong, C., & Lu, Y. (2008). An novel dynamic clustering algorithm based on geographical location for wireless sensor networks. In 2008 International Symposium on Information Science and Engineering (ISISE), Piscataway, NJ, USA (pp. 565– 568).
- Salehpour, A. A., Afzali-Kusha, A., & Mohammadi, S. (2008). Efficient clustering of wireless sensor networks based on memetic algorithm. In IIT 2008 International Conference on Innovations in Information Technology, Piscataway, NJ, USA (pp. 450–454).
- W.Heinzelman,A.Chandrakasan, H. Balakrishnan. "Energy-Efficient communication protocol for wireless microsensor network", Proc. of the Hawaii International Conference on System Sciences, IEEE Computer Society, Washington. DC USA,Jan 2000, pp.3005-3014.
- G. Ran, H. Zhang, and S. Gong, “Improving on LEACH Protocol of Wireless Sensor Networks Using Fuzzy Logic,” Journal of Information & Computational Science, vol. 7, no. 3, pp. 767–775, 2010.
- S. Lindsey, C. S. Raghavendra, "PEGASIS: Power-Efficient gathering in sensor information systems". In: Proc. of the IEEE Aerospace Conference, Big, Sky, Montana, July 2002, vol.3, pp.1125-1130.
- A. Manjeshwar and D. P. Agarwal, "TEEN: a routing protocol for enhanced efficiency in wireless sensor networks", In proceedings of the 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, IEEE Computer Society, San Francisco, April 2001, pp.2009-2015.
- Ding P., Holliday J. and Celik A., “Distributed energy efficient hierarchical clustering for wireless sensor networks”, in Proc. of the 8th IEEE International Conference on Distributed Computing in Sensor Systems, Jun.2005.
- A. Manjeshwar and D. P. Agrawal, “TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks,” in 15th International Symposium on Parallel and Distributed Processing, (Francisco, USA), pp. 2009–2015, April 2001.
- S. Lindsey, C. Raghavendra, and K. M. Sivalingam, “Data Gathering Algorithms in Sensor Networks Using Energy Metrics,” IEEE Transac-tions on Parallel and Distributed Systems, vol. 13, no. 9, pp. 924–935, 2002.
- J. Zhao and A. T. Erdogan, “A Novel Self-Organizing Hybrid network Protocol for Wireless Sensor Networks,” in 1st NASA/ESA Conference on Adaptive Hardware and Systems (AHS), (Istanbul, Turkey), pp. 412– 419, June 2006.
- G. Smaragdakis, I. Matta, and A. Bestavros, “SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks,” tech. rep., Boston University Computer Science Department, 2004.
- Z. A. Eu, H. P. Tan, and W. K. G. Seah, “Routing and Relay Node Placement in Wireless Sensor Networks Powered by Ambient Energy Harvesting,” in Wireless Communications and Networking Conference (WCNC), (Budapest, Hungary), pp. 1–6, IEEE, April 2009.
- N. Choon-Sung, J. Hee-Jin, and S. Dong-Ryeol, “The Adaptive Cluster Head Selection in Wireless Sensor Networks,” in IEEE International Workshop on Semantic Computing and Applications (IWSCA), pp. 147– 149, 2008.
- D. Karaboga, S. Okdem, and C. Ozturk, “Cluster based wireless sensor network routing using artificial bee colony algorithm,” Wireless Net-works, vol. 18, no. 7, pp. 847–860, 2012.
- G. Zheng, S. Liu, and X. Qi, “Clustering routing algorithm of wireless sensor networks based on Bayesian game,” Journal of Systems Engi-neering and Electronics, vol. 23, pp. 154–159, February 2012.
- M. M. Zanjireh, H. Larijani, W. O. Popoola, and A. Shahrabi, “An-alytical Modelling of ANCH Clustering Algorithm for WSNs,” in 13 International Conference on Networks (ICN), (Nice, France), pp. 68– 73, IARIA, February 2014.
- W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, 2002.
- S. Fedor and M. Collier, “On the Problem of Energy Efficiency of Multi-Hop vs One-Hop Routing in Wireless Sensor Networks,” in 21st International Conference on Advanced Information Networking and Applications Workshops (WAINA), (Washington, USA), pp. 380–385, IEEE Computer Society, 2007.
- S. D. Muruganathan, D. C. F. Ma, R. I. Bhasin, and A. Fapojuwo, “A Centralized Energy-Efficient Routing Protocol for Wireless Sensor Networks,” IEEE Communications Magazine, vol. 43, no. 3, pp. 8–13, 2005.
- S. Yi, J. Heo, Y. Cho, and J. Hong, “PEACH: Power-Efficient and Adaptive Clustering Hierarchy protocol for Wireless Sensor Networks,” Computer Communications, vol. 30, no. 14, pp. 2842–2852, 2007.
- A. Chakraborty, K. Chakraborty, S. K. Mitra, and M. K. Naskar, “An Op-timized Lifetime Enhancement Scheme for Data Gathering in Wireless Sensor Networks,” in 5th IEEE Conference on Wireless Communication and Sensor Networks (WCSN), (Allahabad, India), pp. 1–6, December 2009.
- I. Gupta, D. Riordan, and S. Sampalli, “Cluster-head Election using Fuzzy Logic for Wireless Sensor Networks,” in 3rd Annual Research Conference on Communication Networks and Services, pp. 255–260, 2005.
- G. Ran, H.Zhang, and S. Gong, “Improving on LEACH Protocol of Wireless Sensor Networks Using Fuzzy Logic,” Journal of Information & Computational Science, vol. 7, no.3, pp. 767-775, 2010.