A novel source location privacy preservation technique to achieve enhanced privacy and network lifetime in WSNs

Abstract In this paper, we propose a two-phase routing technique using multiple virtual sources to provide enhanced source location privacy in Wireless Sensor Networks (WSNs). We use the concept of escape-angle and random walks that is based on potential energy. The proposed method routes packets to the base station via different virtual sources located at various positions in the network. The key idea of this work is to exploit the excess energy available in the non-hotspot areas of the network to generate dispersive routes between source node and the virtual sources. This approach maximizes safety-period without hampering the network lifetime. We present mathematical models to estimate the overall energy expenditure that incurs at each node during Min Hop Routing phase (phase two). We then determine the remaining amount of energy which could be used for Stochastic and Diffusive Routing phase (phase one). Simulation results show that the proposed technique achieves improved safety-period without hampering the network lifetime.

[1]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[2]  Ke Xu,et al.  An Anti-Tracking Source-Location Privacy Protection Protocol in WSNs Based on Path Extension , 2014, IEEE Internet of Things Journal.

[3]  Anindya Basu,et al.  Routing using potentials: a dynamic traffic-aware routing algorithm , 2003, SIGCOMM '03.

[4]  Jie Wu,et al.  Quantitative Measurement and Design of Source-Location Privacy Schemes for Wireless Sensor Networks , 2012, IEEE Transactions on Parallel and Distributed Systems.

[5]  Anfeng Liu,et al.  Theoretical analysis of the lifetime and energy hole in cluster based wireless sensor networks , 2011, J. Parallel Distributed Comput..

[6]  Yunghsiang Sam Han,et al.  A pairwise key predistribution scheme for wireless sensor networks , 2005, TSEC.

[7]  Mianxiong Dong,et al.  Achieving Source Location Privacy and Network Lifetime Maximization Through Tree-Based Diversionary Routing in Wireless Sensor Networks , 2014, IEEE Access.

[8]  Heejo Lee,et al.  Achieving Network Level Privacy in Wireless Sensor Networks† , 2010, Sensors.

[9]  Mauro Conti,et al.  Providing Source Location Privacy in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[10]  Lin Yao,et al.  Protecting source–location privacy based on multirings in wireless sensor networks , 2015, Concurr. Comput. Pract. Exp..

[11]  Bo Sheng,et al.  Privacy-aware routing in sensor networks , 2009, Comput. Networks.

[12]  Yong Wang,et al.  Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet , 2002, ASPLOS X.

[13]  Chuang Lin,et al.  Attribute-Aware Data Aggregation Using Potential-Based Dynamic Routing in Wireless Sensor Networks , 2013, IEEE Transactions on Parallel and Distributed Systems.

[14]  Honglong Chen,et al.  On protecting end-to-end location privacy against local eavesdropper in Wireless Sensor Networks , 2015, Pervasive Mob. Comput..