The Method of Gbr Optimization by Special Parameters to Decrease Energy Consumption in Wsns
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Authors
Sina Hedayati
- Department of Computer,Payame Noor University, PO BOX 19395-3697, Tehran, IRAN.
Arash Ghorbannia Delavar
- Department of Computer,Payame Noor University, PO BOX 19395-3697, Tehran, IRAN.
Abstract
One of the fundamental for the design of routing protocols in wireless sensor networks, is energy efficiency. And because of the limitation in energy supplement, one of the most important parameters in a wireless sensor network nodes. To increase energy efficiency, The use a well-know protocol as GBR. However, there are some shortcoming in the GBR project. Firstly, to increasing elected nodes to forward the data from the source node to the sink waste to energy. Secondly, Due to the competitive nature of the algorithm, To select the most appropriate nodes to forward the data from the source node to the sink to be limited. As result, for the above problems optimization procedure discussed GBR, The main idea of this algorithm is to reduce retransmissions and attempt to save energy by taking smaller positions for to forward data in this project. This proposed scheme results in better energy efficiency than traditional GBR offers.
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ISRP Style
Sina Hedayati, Arash Ghorbannia Delavar, The Method of Gbr Optimization by Special Parameters to Decrease Energy Consumption in Wsns, Journal of Mathematics and Computer Science, 8 (2014), no. 4, 387-397
AMA Style
Hedayati Sina, Delavar Arash Ghorbannia, The Method of Gbr Optimization by Special Parameters to Decrease Energy Consumption in Wsns. J Math Comput SCI-JM. (2014); 8(4):387-397
Chicago/Turabian Style
Hedayati, Sina, Delavar, Arash Ghorbannia. "The Method of Gbr Optimization by Special Parameters to Decrease Energy Consumption in Wsns." Journal of Mathematics and Computer Science, 8, no. 4 (2014): 387-397
Keywords
- Wireless sensor network
- Gradient–Base Routing
- Efficiency energy.
MSC
References
-
[1]
Lusheng Miao, Karim Djouani, Anish Kurien, Guillaume Noel Network coding and competitive approach for gradient based routing in wireless sensor networks Ad Hoc Networks, , 10 (2012), 990-1008.
-
[2]
T. He, S. Krishnamurthy, J. A. Stankovic, T. Abdelzaher, L. Luo, R. Stoleru,T. Yan, L. Gu, Energy-efficient surveillance system using wireless sensor networks, in: Mobisys, ACM Press, (2004), 270–283.
-
[3]
G. Tolle, J. Polastre, R. Szewczyk, D. Culler, N. Turner, K. Tu, S. Burgess, T. Dawson, P. Buonadonna, D. Gay. Hong , A macroscope in the redwoods, in: Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, SenSys ’05, ACM, New York,NY, USA, pp. Doi : http ://doi.acm.org /10.1145 /1098918 .1098925. , (2005), 51–63.
-
[4]
R. K. Ganti, P. Jayachandran, T. F. Abdelzaher, J. A. Stankovic, Satire: a software architecture for smart attire, in: Proceedings of the 4th International Conference on Mobile Systems, Applications and Services, MobiSys’06,ACM,NewYork,NY,USA, (2006), 110–123.
-
[5]
Y. Xu, J. Heidemann, D. Estrin, Geography-informed energy conservation for ad hoc routing, in: Proceedings of the 7th annual international conference on Mobile computing and networking, MobiCom ’01, ACM, New York, NY, USA, (2001), 70–84.
-
[6]
W. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficientco mmunication protocol for wireless microsensor networks, in:Proceedings of the Hawaii Conference on System Sciences, (2000)
-
[7]
A. Manjeshwar, D. P. Agrawal, Teen: a routing protocol for enhanced efficiency in wireless sensor networks, in: Proc. 15th Int. Parallel andDistributed Processing Symp., (2001), 2009–2015.
-
[8]
A. S. Izadi, A. R. Sahab, J. Vahidi, A New Mechanism for Traffic Reduction the Service Resource Discovery Protocol in Ad-Hoc Grid Network, The Journal of Mathematics and Computer Science, 6 (2013), 129-138.
-
[9]
J. N. Al-Karaki, A. E. Kamal, Routing techniques in wireless sensor networks: a survey, IEEE Wireless Commun. Mag. , 11 (6) (2004), 6–28.
-
[10]
Hamed Azami, Milad Malekzadeh, Saeid Sanei, A New Neural Network Approach for Face Recognition based on Conjugate Gradient Algorithms and Principal Component Analysis, The Journal of Mathematics and Computer Science, (2013), 166 - 175.
-
[11]
L. Shan-Shan, Z. Pei-Dong, L. Xiang-Ke, C. Wei-Fang, P. Shao-Liang, Energy efficient multipath routing using network coding in wirelesssensor networks, in: T. Kunz, S. Ravi (Eds.), Ad-Hoc, Mobile, andWireless Networks, Springer, Berlin/Heidelberg, 4104 (2006), 114–127.
-
[12]
Y. S. Y. Yang, C. Zhong, J. Yang, Energy efficient reliable multi-path routing using network coding for sensor network, IJCSNS, Int. J.Comput. Sci. Network Secur ., 8(12) (2008), 114–127.
-
[13]
Q. Wang, H. Hassanein, G. Takahara, Stochastic modeling of distributed, dynamic, randomized clustering protocols for wireless sensor networks, in: Proceedings of the 2004 International Conference on Parallel Processing Workshops, ICPPW ’04, IEEE Computer Society, Washington, DC, USA, (2004), 456–463.
-
[14]
L. Shan-Shan, Z. Pei-Dong, L. Xiang-Ke, C. Wei-Fang, P. Shao-Liang, Energy efficient multipath routing using network coding in wireless sensor networks , in: T. Kunz, S. Ravi (Eds.), Ad-Hoc, Mobile, and Wireless Networks, Springer,Berlin/Heidelberg, 4104 (2006), 114–127.
-
[15]
Y. S. Y. Yang, C. Zhong, J. Yang, Energy efficient reliable multi-path routing using network coding for sensor network, IJCSNS Int. J.Comput. Sci. Network Secur, 8(12) (2008), 114–127.
-
[16]
Z. Xiong, W. Liu, J. Huang, W. Cheng, B. Cheng, Network coding approach for intra-cluster information exchange in sensor networks, in: Proc. VTC-2007 Fall Vehicular Technology Conf., (2007), 164–168.
-
[17]
E. Ayday, F. Delgosha, F. Fekri, Location-aware security services for wireless sensor networks using network coding, in: Proc. 26th IEEE Int. Conf. Computer Communications, INFOCOM 2007, IEEE, (2007), 1226–1234.
-
[18]
Z. Zhu, Q. Tan, P. Zhu, Q. Zheng, Security broadcast based on linear network coding in WSN, in: Proceedings of International Computer Science and Software Engineering Conference, 3 (2008), 919–922.
-
[19]
T.-G. Li, C.-C. Hsu, C.-F. Chou, On reliable transmission by adaptive network coding in wireless sensor networks, in: ICC ’09. IEEE International Conference on Communications, (2009), 1–5.
-
[20]
J. W. Hui, D. Culler, The dynamic behavior of a data dissemination protocol for network programming at scale, in: Proceedings of the 2nd International, ACM Press, (2004), 81–94.
-
[21]
V. Shnayder, M. Hempstead, B.-r. Chen, G. W. Allen, M. Welsh, Simulating the power consumption of large-scale sensor network applications, in: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, SenSys ’04, ACM, New York,NY, USA, (2004), 188–200.