Abstract
Wireless Sensor and Actor Networks (WSANs), refers to a group of sensors and actors that get the information about the physical environment and perform appropriate actions. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we propose a fuzzy-based system for selection in WSANs. Our system uses four input parameters. Different from our previous work, we consider also the Density of Actor (DOA) parameter. The system output is Actor Selection Decision (ASD). The simulation results show that the proposed system has a good behaviour and makes a proper selection of actor nodes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks (Elsevier), vol. 38, no. 4, pp. 393–422, 2002.
I. F. Akyildiz and I. H. Kasimoglu, “Wireless sensor and actor networks: Research challenges,” Ad Hoc Networks Journal (Elsevier), vol. 2, no. 4, pp. 351–367, October 2004.
N. Haider, M. Imran, N. Saad, and M. Zakariya, “Performance analysis of reactive connectivity restoration algorithms for wireless sensor and actor networks,” in Communications (MICC-2013), IEEE Malaysia International Conference on, Nov 2013, pp. 490–495.
A. Abbasi, M. Younis, and K. Akkaya, “Movement-assisted connectivity restoration in wireless sensor and actor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 9, pp. 1366–1397, Sept 2009.
X. Li, X. Liang, R. Lu, S. He, J. Chen, and X. Shen, “Toward reliable actor services in wireless sensor and actor networks,” in Mobile Adhoc and Sensor Systems (MASS), 2011 IEEE 8th International Conference on, Oct 2011, pp. 351–360.
K. Akkaya and M. Younis, “Cola: A coverage and latency aware actor placement for wireless sensor and actor networks,” in Vehicular Technology (VTC-2006) Fall, IEEE 64th Conference on, Sept 2006, pp. 1–5.
J. Kakarla and B. Majhi, “A new optimal delay and energy efficient coordination algorithm for wsan,” in Advanced Networks and Telecommuncations Systems (ANTS), 2013 IEEE International Conference on, Dec 2013, pp. 1–6.
E. Kulla, M. Ikeda, and B. Leonard, “A fuzzy approach to actor selection in wireless sensor and actor networks,” in The 17-th International Conference on Network-Based Information Systems (NBiS-2014), Salerno, Italy, September 2014, pp. 244–248.
M. Akbas and D. Turgut, “Apawsan: Actor positioning for aerial wireless sensor and actor networks,” in Local Computer Networks (LCN), 2011 IEEE 36th Conference on, Oct 2011, pp. 563–570.
M. Akbas, M. Brust, and D. Turgut, “Local positioning for environmental monitoring in wireless sensor and actor networks,” in Local Computer Networks (LCN), 2010 IEEE 35th Conference on, Oct 2010, pp. 806–813.
T. Melodia, D. Pompili, V. Gungor, and I. AkyildizZX, “Communication and coordination in wireless sensor and actor networks,” IEEE Transactions on Mobile Computing, vol. 6, no. 10, pp. 1126–1129, October 2007.
V. Gungor, O. Akan, and I. Akyildiz, “A real-time and reliable transport (rt2) protocol for wireless sensor and actor networks,” Networking, IEEE/ACM Transactions on, vol. 16, no. 2, pp. 359–370, April 2008.
K. Selvaradjou, N. Handigol, A. Franklin, and C. Murthy, “Energy-efficient directional routing between partitioned actors in wireless sensor and actor networks,” Communications, IET, vol. 4, no. 1, pp. 102–115, January 2010.
H. Nakayama, Z. Fadlullah, N. Ansari, and N. Kato, “A novel scheme for wsan sink mobility based on clustering and set packing techniques,” Automatic Control, IEEE Transactions on, vol. 56, no. 10, pp. 2381–2389, Oct 2011.
T. Inaba, S. Sakamoto, V. Kolici, G. Mino, and L. Barolli, “A CAC Scheme Based on Fuzzy Logic for Cellular Networks Considering Security and Priority Parameters,” The 9-th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2014), pp. 340–346, 2014.
E. Spaho, S. Sakamoto, L. Barolli, F. Xhafa, V. Barolli, and J. Iwashige, “A Fuzzy-Based System for Peer Reliability in JXTA-Overlay P2P Considering Number of Interactions,” The 16th International Conference on Network-Based Information Systems (NBiS-2013), pp. 156–161, 2013.
K. Matsuo, D. Elmazi, Y. Liu, S. Sakamoto, G. Mino, and L. Barolli, “FACS-MP: A Fuzzy Admission Control System with Many Priorities for Wireless Cellular Networks and Its Performance Evaluation,” Journal of High Speed Networks, vol. 21, no. 1, pp. 1–14, 2015.
Y. Liu, S. Sakamoto, K. Matsuo, M. Ikeda, L. Barolli, and F. Xhafa, “Improving Reliability of JXTA-Overlay P2P Platform: A Comparison Study for Two Fuzzy-based Systems,” Journal of High Speed Networks, vol. 21, no. 1, pp. 27–45, 2015.
M. Grabisch, “The Application of Fuzzy Integrals in Multicriteria Decision Making,” European journal of operational research, vol. 89, no. 3, pp. 445–456, 1996.
T. Inaba, D. Elmazi, Y. Liu, S. Sakamoto, L. Barolli, and K. Uchida, “Integrating Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic Considering Node Mobility and Security,” The 29th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA-2015), pp. 54–60, 2015.
E. Kulla, G. Mino, S. Sakamoto, M. Ikeda, S. Caball´e, and L. Barolli, “FBMIS: A Fuzzy-Based Multi-interface System for Cellular and Ad Hoc Networks,” International Conference on Advanced Information Networking and Applications (AINA-2014), pp. 180–185, 2014.
D. Elmazi, E. Kulla, T. Oda, E. Spaho, S. Sakamoto, and L. Barolli, “A Comparison Study of Two Fuzzy-based Systems for Selection of Actor Node in Wireless Sensor Actor Networks,” Journal of Ambient Intelligence and Humanized Computing, pp. 1–11, 2015.
L. Zadeh, “Fuzzy logic, neural networks, and soft computing,” ACM Communications, pp. 77–84, 1994.
E. Spaho, S. Sakamoto, L. Barolli, F. Xhafa, and M. Ikeda, “Trustworthiness in P2P: Performance Behaviour of Two Fuzzy-based Systems for JXTA-overlay Platform,” Soft Computing, vol. 18, no. 9, pp. 1783–1793, 2014.
T. Inaba, S. Sakamoto, E. Kulla, S. Caballe, M. Ikeda, and L. Barolli, “An Integrated System for Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic,” International Conference on Intelligent Networking and Collaborative Systems (INCoS-2014), pp. 157–162, 2014.
K. Matsuo, D. Elmazi, Y. Liu, S. Sakamoto, and L. Barolli, “A Multi-modal Simulation System for Wireless Sensor Networks: A Comparison Study Considering Stationary and Mobile Sink and Event,” Journal of Ambient Intelligence and Humanized Computing, pp. 1–11, 2015.
V. Kolici, T. Inaba, A. Lala, G. Mino, S. Sakamoto, and L. Barolli, “A Fuzzy-Based CAC Scheme for Cellular Networks Considering Security,” International Conference on Network-Based Information Systems (NBiS-2014), pp. 368–373, 2014.
Y. Liu, S. Sakamoto, K. Matsuo, M. Ikeda, L. Barolli, and F. Xhafa, “A Comparison Study for Two Fuzzy-based Systems: Improving Reliability and Security of JXTA-overlay P2P Platform,” Soft Computing, pp. 1–11, 2015.
K. Matsuo, D. Elmazi, Y. Liu, S. Sakamoto, G. Mino, and L. Barolli, “FACS-MP: A Fuzzy Admission Control System with Many Priorities for Wireless Cellular Networks and Its Perforemance Evaluation,” Journal of High Speed Network, vol. 21, no. 1, pp. 1–14, 2015.
J. M. Mendel, “Fuzzy logic systems for engineering: a tutorial,” Proc. of the IEEE, vol. 83, no. 3, pp. 345–377, 1995.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Elmazi, D., Oda, T., Spaho, E., Kulla, E., Ikeda, M., Barolli, L. (2017). A Fuzzy-Based Simulation System for Actor Selection in Wireless Sensor and Actor Networks Considering as a New Parameter Density of Actor Nodes. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-49106-6_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49105-9
Online ISBN: 978-3-319-49106-6
eBook Packages: EngineeringEngineering (R0)