FuGeF: A Resource Bound Secure Forwarding Protocol for Wireless Sensor Networks

Resource bound security solutions have facilitated the mitigation of spatio-temporal attacks by altering protocol semantics to provide minimal security while maintaining an acceptable level of performance. The Dynamic Window Secured Implicit Geographic Forwarding (DWSIGF) routing protocol for Wireless Sensor Network (WSN) has been proposed to achieve a minimal selection of malicious nodes by introducing a dynamic collection window period to the protocol’s semantics. However, its selection scheme suffers substantial packet losses due to the utilization of a single distance based parameter for node selection. In this paper, we propose a Fuzzy-based Geographic Forwarding protocol (FuGeF) to minimize packet loss, while maintaining performance. The FuGeF utilizes a new form of dynamism and introduces three selection parameters: remaining energy, connectivity cost, and progressive distance, as well as a Fuzzy Logic System (FLS) for node selection. These introduced mechanisms ensure the appropriate selection of a non-malicious node. Extensive simulation experiments have been conducted to evaluate the performance of the proposed FuGeF protocol as compared to DWSIGF variants. The simulation results show that the proposed FuGeF outperforms the two DWSIGF variants (DWSIGF-P and DWSIGF-R) in terms of packet delivery.

[1]  José-Fernán Martínez,et al.  The Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic , 2015, Sensors.

[2]  Yueh-Ming Huang,et al.  Fuzzy logic weighted multi-criteria of dynamic route lifetime for reliable multicast routing in ad hoc networks , 2008, Expert Syst. Appl..

[3]  Ahmed Helmy,et al.  Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks , 2004, SenSys '04.

[4]  Marc Heissenbuttel A Novel Position-based and Beacon-less Routing Algorithm for Mobile Ad-Hoc Networks , 2003 .

[5]  S. Roy,et al.  Efficient data forwarding techniques in Wireless Sensor Networks , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[6]  Avesta Sasan,et al.  Fuzzy Based Trust Estimation for Congestion Control in Wireless Sensor Networks , 2009, 2009 International Conference on Intelligent Networking and Collaborative Systems.

[7]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[8]  Pedro José Marrón,et al.  Fuzzy-logic based routing for dense wireless sensor networks , 2013, Telecommun. Syst..

[9]  Leonard Kleinrock,et al.  Optimal Transmission Ranges for Randomly Distributed Packet Radio Terminals , 1984, IEEE Trans. Commun..

[10]  Qilian Liang,et al.  Fuzzy logic-optimized secure media access control (FSMAC) protocol wireless sensor networks , 2005, CIHSPS 2005. Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, 2005..

[11]  Michele Zorzi,et al.  Multihop performance of geographic random forwarding for ad hoc and sensor networks , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[12]  Pedro M. Ruiz,et al.  SBGR: A Simple Self-Protected Beaconless Geographic Routing for Wireless Sensor Networks , 2011, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems.

[13]  Marco Zuniga,et al.  Analyzing the transitional region in low power wireless links , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[14]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

[15]  Subramaniam Shamala,et al.  An Energy Aware Distributed Clustering Algorithm Using Fuzzy Logic for Wireless Sensor Networks with Non-uniform Node Distribution , 2015, Wireless Personal Communications.

[16]  Mahamod Ismail,et al.  Impact of blackhole and Sybil attacks on dynamic windows secured implicit geographic forwarding routing protocol , 2014, IET Inf. Secur..

[17]  Chenn-Jung Huang,et al.  Direction-Sensitive Routing Protocols for Underwater Wireless Sensor Networks , 2010 .

[18]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[19]  K. Selçuk Candan,et al.  GPER: geographic power efficient routing in sensor networks , 2004, Proceedings of the 12th IEEE International Conference on Network Protocols, 2004. ICNP 2004..

[20]  Nael B. Abu-Ghazaleh,et al.  TARMAC: Traffic-Analysis Reslient MAC Protocol for Multi-Hop Wireless Networks , 2006, ArXiv.

[21]  Ali Abbas,et al.  Fuzzy Logic-Based Guaranteed Lifetime Protocol for Real-Time Wireless Sensor Networks , 2015, Sensors.

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

[23]  Aduwati Sali,et al.  A Forwarding Strategy for DWSIGF Routing Protocol , 2015, 2015 5th International Conference on IT Convergence and Security (ICITCS).

[24]  Wenjing Lou,et al.  Energy aware efficient geographic routing in lossy wireless sensor networks with environmental energy supply , 2009, Wirel. Networks.

[25]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[26]  Paul G. Spirakis,et al.  A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks , 2006, Ad Hoc Networks.

[27]  Shengli Xie,et al.  A position based beaconless routing algorithm for mobile ad hoc networks , 2005, Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005..

[28]  Jorge Urrutia,et al.  Compass routing on geometric networks , 1999, CCCG.

[29]  Sang Hyuk Son,et al.  IGF: A State-Free Robust Communication Protocol for Wireless Sensor Networks , 2003 .

[30]  Leonard Kleinrock,et al.  The Spatial Capacity of a Slotted ALOHA Multihop Packet Radio Network with Capture , 1984, IEEE Trans. Commun..

[31]  Sohrab Khanmohammadi,et al.  Static Three-Dimensional Fuzzy Routing Based on the Receiving Probability in Wireless Sensor Networks , 2013, Comput..

[32]  Victor C. M. Leung,et al.  Hybrid Geographic Routing for Flexible Energy—Delay Tradeoff , 2009, IEEE Transactions on Vehicular Technology.

[33]  Ting-Chao Hou,et al.  Transmission Range Control in Multihop Packet Radio Networks , 1986, IEEE Trans. Commun..

[34]  Kasmiran Jumari,et al.  Dynamic Window Secured Implicit Geographic Forwarding Routing for Wireless Sensor Network , 2009 .

[35]  Nauman Aslam,et al.  An Energy Efficient Fuzzy Logic Cluster Formation Protocol in Wireless Sensor Networks , 2012, ANT/MobiWIS.

[36]  Jörg Widmer,et al.  Contention-based forwarding for mobile ad hoc networks , 2003, Ad Hoc Networks.

[37]  John A. Stankovic,et al.  Research challenges for wireless sensor networks , 2004, SIGBED.

[38]  Tian He,et al.  SIGF: a family of configurable, secure routing protocols for wireless sensor networks , 2006, SASN '06.

[39]  Sang Hyuk Son,et al.  Robust and timely communication over highly dynamic sensor networks , 2007, Real-Time Systems.

[40]  Pedro M. Ruiz,et al.  BOSS: Beacon-less On Demand Strategy for Geographic Routing inWireless Sensor Networks , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.