Fuzzy-Cross: A fuzzy based architecture for wireless sensor network

This paper introduces Fuzzy-Cross, a decision making and information-sharing architecture for wireless sensor networks (WSN)that enables the protocols to achieve energy efficiency, reliability,and low data latency. FUCRretains a layered structure with each layer matching to a communication function to provide a practical and simple design. The administrative plane provided by FUCR collects residual energy from physical layer, data delivery, and channel assessment records from data link layer, packet dispatch rate from network layer and sensitivity of sensing unit from application layer. The information collected is used as input descriptors for running fuzzy logic. Output of the fuzzy logic assists physical layer protocol to decide node's transmit power; data link layer protocol to decide retransmission time out, back off time and duty cycle; network layer to determine chance of the node to become a relay node and application layer to determine chance of node to become a reporting node. To investigate the extent to which Fuzzy-Cross meets its goals, it is implemented on top of ZigBee standard. Simulation results demonstrated that Fuzzy-Cross with ZigBee outperforms both (i) ADaptive Access Parameters Tuning (ADAPT) with Zigbee and (ii) standard ZigBee without any modifcations. For a single hop network Fuzzy-Cross is up to 12% more energy efficient compared to ADAPT. Delivery ratio of Fuzzy-Cross is up to 12% more and data latency is up to 19% less compared to ADAPT. Similar trend is seen for multi-hop network and for a wide range of operating conditions.

[1]  Andreas Jürgen Lachenmann,et al.  A cross-layer framework for sensor networks , 2008 .

[2]  H. Zimmermann,et al.  OSI Reference Model - The ISO Model of Architecture for Open Systems Interconnection , 1980, IEEE Transactions on Communications.

[3]  Sajal K. Das,et al.  Reliability and Energy-Efficiency in IEEE 802.15.4/ZigBee Sensor Networks: An Adaptive and Cross-Layer Approach , 2011, IEEE Journal on Selected Areas in Communications.

[4]  Ismo Hakala,et al.  From vertical to horizontal architecture: a cross-layer implementation in a sensor network node , 2006, InterSense '06.

[5]  Raja Jurdak Wireless Ad Hoc and Sensor Networks: A Cross-Layer Design Perspective , 2007 .

[6]  Pierre Baldi,et al.  Modeling and optimization of ad hoc and sensor networks , 2005 .

[7]  Christophe J. Merlin,et al.  Adaptability in Wireless Sensor Networks Through Cross-Layer Protocols and Architectures , 2009 .

[8]  Dimitrios Hatzinakos,et al.  A cross-layer architecture of wireless sensor networks for target tracking , 2007, TNET.

[9]  David E. Culler,et al.  A modular network layer for sensorsets , 2006, OSDI '06.

[10]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[11]  Shining Li,et al.  TCLA: A Triangular Cross-Layer Architecture for Wireless Sensor Networks , 2009, 2009 Fourth International Conference on Frontier of Computer Science and Technology.

[12]  Sachin Gajjar,et al.  Comparative analysis of wireless sensor network motes , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

[13]  David E. Culler,et al.  A unifying link abstraction for wireless sensor networks , 2005, SenSys '05.

[14]  Chuen-Tsai Sun,et al.  Neuro-fuzzy And Soft Computing: A Computational Approach To Learning And Machine Intelligence [Books in Brief] , 1997, IEEE Transactions on Neural Networks.

[15]  Andrea J. Goldsmith,et al.  Modeling and optimization of transmission schemes in energy-constrained wireless sensor networks , 2007, TNET.

[16]  Ian F. Akyildiz,et al.  XLP: A Cross-Layer Protocol for Efficient Communication in Wireless Sensor Networks , 2010, IEEE Transactions on Mobile Computing.

[17]  Ganesh K. Venayagamoorthy,et al.  Computational Intelligence in Wireless Sensor Networks: A Survey , 2011, IEEE Communications Surveys & Tutorials.

[18]  Yingyu Wan,et al.  Accurate Time Synchronization for Wireless Sensor Networks , 2005, MSN.

[19]  Weilian Su,et al.  Cross-layer design and optimisation for wireless sensor networks , 2009, Int. J. Sens. Networks.

[20]  Weilian Su,et al.  Cross-Layer Design and Optimization forWireless Sensor Networks , 2006, Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06).

[21]  Weisong Shi,et al.  Score: a sensor core framework for cross-layer design , 2006, QShine '06.