Selection of Actor Nodes in Wireless Sensor and Actor Networks Considering as a New Parameter Actor Congestion Situation

In Wireless Sensor and Actor Networks (WSANs), sensors and actors collaborate together to 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 consider the actor node selection problem and we propose a fuzzy-based system that based on data provided by sensors and actors selects an appropriate actor node. We use 4 input parameters. Different from our previous work, we consider also the Congestion Situation (CS) parameter. The output parameter is Actor Selection Decision (ASD). The simulation results show that the proposed system makes a proper selection of actor nodes.

[1]  Lotfi A. Zadeh,et al.  Fuzzy logic, neural networks, and soft computing , 1993, CACM.

[2]  Leonard Barolli,et al.  A Fuzzy Approach to Actor Selection in Wireless Sensor and Actor Networks , 2014, 2014 17th International Conference on Network-Based Information Systems.

[3]  Banshidhar Majhi,et al.  A new optimal delay and energy efficient coordination algorithm for WSAN , 2013, 2013 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS).

[4]  Fatos Xhafa,et al.  A Fuzzy-Based System for Peer Reliability in JXTA-Overlay P2P Considering Number of Interactions , 2013, 2013 16th International Conference on Network-Based Information Systems.

[5]  J. Mendel.  Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[6]  Jiming Chen,et al.  Toward Reliable Actor Services in Wireless Sensor and Actor Networks , 2011, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems.

[7]  Leonard Barolli,et al.  A Fuzzy-Based CAC Scheme for Cellular Networks Considering Security , 2014, 2014 17th International Conference on Network-Based Information Systems.

[8]  C. Siva Ram Murthy,et al.  Energy-efficient directional routing between partitioned actors in wireless sensor and actor networks , 2010, IET Commun..

[9]  M. Grabisch.  The application of fuzzy integrals in multicriteria decision making , 1996 .

[10]  Ian F. Akyildiz,et al.  Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.

[11]  Dario Pompili,et al.  Communication and Coordination in Wireless Sensor and Actor Networks , 2007, IEEE Transactions on Mobile Computing.

[12]  Mohamed F. Younis,et al.  COLA: A Coverage and Latency Aware Actor Placement for Wireless Sensor and Actor Networks , 2006, IEEE Vehicular Technology Conference.

[13]  Nei Kato,et al.  A Novel Scheme for WSAN Sink Mobility Based on Clustering and Set Packing Techniques , 2011, IEEE Transactions on Automatic Control.

[14]  Damla Turgut,et al.  Local positioning for environmental monitoring in wireless sensor and actor networks , 2010, IEEE Local Computer Network Conference.

[15]  Ameer Ahmed Abbasi,et al.  Movement-Assisted Connectivity Restoration in Wireless Sensor and Actor Networks , 2009, IEEE Transactions on Parallel and Distributed Systems.

[16]  Leonard Barolli,et al.  A comparison study of two fuzzy-based systems for selection of actor node in wireless sensor actor networks , 2015, J. Ambient Intell. Humaniz. Comput..

[17]  Leonard Barolli,et al.  Integrating Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic Considering Node Mobility and Security , 2015, 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops.

[18]  Damla Turgut,et al.  APAWSAN: Actor positioning for aerial wireless sensor and actor networks , 2011, 2011 IEEE 36th Conference on Local Computer Networks.

[19]  Leonard Barolli,et al.  An Integrated System for Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic , 2014, 2014 International Conference on Intelligent Networking and Collaborative Systems.

[20]  Leonard Barolli,et al.  A multi-modal simulation system for wireless sensor networks: a comparison study considering stationary and mobile sink and event , 2015, J. Ambient Intell. Humaniz. Comput..

[21]  Fatos Xhafa,et al.  Trustworthiness in P2P: performance behaviour of two fuzzy-based systems for JXTA-overlay platform , 2014, Soft Comput..

[22]  V. C. Gungor,et al.  A Real-Time and Reliable Transport (RT)$^{2}$ Protocol for Wireless Sensor and Actor Networks , 2008, IEEE/ACM Transactions on Networking.

[23]  Özgür B. Akan,et al.  A real-time and reliable transport (RT) 2 protocol for wireless sensor and actor networks , 2008, IEEE/ACM Trans. Netw..

[24]  Leonard Barolli,et al.  FBMIS: A Fuzzy-Based Multi-interface System for Cellular and Ad Hoc Networks , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

[25]  Fatos Xhafa,et al.  Improving reliability of JXTA-Overlay P2P platform: A comparison study for two fuzzy-based systems , 2015, J. High Speed Networks.

[26]  Muhammad Imran,et al.  Performance analysis of reactive connectivity restoration algorithms for wireless sensor and actor networks , 2013, 2013 IEEE 11th Malaysia International Conference on Communications (MICC).

[27]  Leonard Barolli,et al.  FACS-MP: A fuzzy admission control system with many priorities for wireless cellular networks and its performance evaluation , 2015, J. High Speed Networks.

[28]  Fatos Xhafa,et al.  A comparison study for two fuzzy-based systems: improving reliability and security of JXTA-overlay P2P platform , 2016, Soft Comput..

[29]  Lotfi A. Zadeh,et al.  Fuzzy Logic , 2009, Encyclopedia of Complexity and Systems Science.

[30]  Leonard Barolli,et al.  A CAC Scheme Based on Fuzzy Logic for Cellular Networks Considering Security and Priority Parameters , 2014, 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications.

[31]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.