Bcwsn- a Dynamic Load Balancing Algorithm for Decrease Congestion Cost in Wireless Sensor Network

Volume 16, Issue 1, pp 18-25 http://dx.doi.org/10.22436/jmcs.016.01.03

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Authors

Arash Rahbari - 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

Lifetime network is one of the important needs in wireless sensor networks. Case studies show that network increased lifetime possible by spending costs. The cost of congestion is one of those cases. The cost of back pressuring and blocking the rout with timer is obtained in the difference literature. We will be given a dynamic balancing algorithm by BCWSN to reduce congestion. By integration of certain parameters in this the proposed method we have achieved the objective function. To achieve a dynamic balance in the network, with the help of this function and provides the detection threshold and assign the proper id, we have proposed strategies to choose the receiver and sender nodes. Finally, we could with reducing the processing time in the BCWSN proposed method increase network lifetime as compared to the previous.

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Keywords

• Wireless Sensor network
• BCWSN algorithm
• load balancing
• congestion cost.

References

• [1] M. I. Akbas, D. Turgut, Lightweight routing with dynamic interests in wireless sensor and actor networks, Ad Hoc Networks, 11 (2013), 2313-2328.
  • View Article
  • Google Scholar


• [2] K. Akkaya, M. Younis, Energy and QoS aware routing for wireless sensor networks , Cluster Comput., 8 (2005), 179-188.
  • View Article
  • Google Scholar


• [3] J. N. Al-Karaki, A. E. Kamal, Routing techniques in wireless sensor networks: a survey, IEEE Wireless Commun., 11 (2004), 6-28.
  • View Article
  • Google Scholar


• [4] M. Amadeo, A. Molinaro, G. Ruggeri, E-CHANET: Routing,forwarding and transport in Information- Centric multihop wireless networks, Comput. Commun., 36 (2013), 792-803.
  • View Article
  • Google Scholar


• [5] O. Banimelhem, S. Khasawneh, GMCAR: Grid-based multipath with congestion avoidance routing protocolin wireless sensor networks, Ad Hoc Networks, 10 (2012), 1346-1361.
  • View Article
  • Google Scholar


• [6] F. Castano, A. Rossi, M. Sevaux, N. Velasco, On the use of multiple sinks to extend the lifetime in connected wireless sensor networks , Electron. Notes Discrete Math., 41 (2013), 77-84.
  • View Article
  • Google Scholar


• [7] G. H. Ekbatanifard, R. Monsefi, M. H. Yaghmaee, S. A. Hosseini, Queen-MAC: A quorum-based energy- efficient medium access control protocol for wireless sensor networks, Comput. Networks, 56 (2012), 2221-2236.
  • View Article
  • Google Scholar


• [8] M. Eslami, J. Vahidi, M. Askarzadeh, Designing and Implementing a Distributed Genetic Algorithm for Optimizing Work Modes in Wireless Sensor Network, J. math. comput. sci., 11 (2014), 291-299.
  • Google Scholar


• [9] B. Fateh, M. Govindarasu, Energy minimization by exploiting data redundancy in real-time wireless sensor networks, Ad Hoc Networks, 11 (2013), 1715-1731.
  • View Article
  • Google Scholar


• [10] S. Hedayati, A. Ghorbannia Delavar, The method of GBR optimization by special parameters to decrease energy consumption in WSNs , J. math. comput. sci., 8 (2014), 387-397.
  • Google Scholar


• [11] W. R. Heinzelman, A. Chandrakasan, H. Balakrishnam, Energy-efficient communication protocol for wireless sensor networks, IEEE System Sci., 2 (2000), 10 pages.
  • View Article
  • Google Scholar


• [12] R. Kacimi, R. Dhaou, A. L. Beylot, Load balancing techniques for lifetime maximizing in wireless sensor networks, Ad Hoc Networks, 11-8 (2013), 2172-2186.
  • View Article
  • Google Scholar


• [13] J. Kang, Y. Zhang, B. Nath, TARA: Topology-Aware Resource Adaptation to Alleviate Congestion in Sensor Networks, , 18 (2007), 919-931.
  • View Article
  • Google Scholar


• [14] K. S. Lee, S. Oh, C. Kim, A dynamic ID management protocol for CSMA/IC in ad hoc networks , Ad Hoc Networks, 11 (2013), 991-1005.
  • View Article
  • Google Scholar


• [15] C. Y. Lee, L. C. Shiu, F. T. Lin, C. S. Yang, Distributed topology control algorithm on broadcasting in wireless sensor network, J. Network Comput. Appl., 36 (2013), 1186-1195.
  • View Article
  • Google Scholar


• [16] I. A. Modupe, O. O. Olugbara, A. Modupe, Minimizing Energy Consumption in Wireless Ad hoc Networks with Meta heuristics, Procedia Comput. Sci., 19 (2013), 106-115.
  • View Article
  • Google Scholar


• [17] I. H. Peng, Y. W. Chen, Energy consumption bounds analysis and its applications for grid based wireless sensor networks, J. network Comput. Appl., 36 (2013), 444-451.
  • View Article
  • Google Scholar


• [18] A. A. Rezaee, M. H. Yaghmaee, A. M. Rahmani, A. H. Mohajerzadeh, HOCA: Healthcare Aware Optimized Congestion Avoidance and control protocol for wireless sensor networks, J. Network Comput. Appl., 37 (2014), 216-228.
  • View Article
  • Google Scholar


• [19] F. Rouhi, A. Ghorbannia Delavar, S. Hedayati, ETDWSN: A method for energy efficiency increase by combining the index parameters in wireless sensor networks, J. math. comput. sci., 11 (2014), 166-176.
  • Google Scholar


• [20] C. Sergiou, V. Vassiliou, A. Paphitis, Hierarchical Tree Alternative Path (HTAP) algorithm for congestion control in wireless sensor networks, Ad Hoc Networks, 11 (2013), 257-272.
  • View Article
  • Google Scholar


• [21] X. Wang, H. Qian, Research on all-IP communication between wireless sensor networks and IPv6 networks , Comput. Standards & Interfaces, 35 (2013), 403-414.
  • View Article
  • Google Scholar


• [22] F. Yan, A. K. H. Yeung, G. Chen, A numerical study of energy consumption and time efficiency of sensor networks with difrerent structural topologies and routing methods , Commun. Nonlinear Science Numer. Simul., 18-9 (2013), 2515-2526.
  • View Article
  • Google Scholar