Aiming at the serious impact of the typical network attacks caused by the limited energy and the poor deployment environment of wireless sensor network (WSN) on data transmission, a trust sensing based secure routing mechanism (TSSRM) with the lightweight characteristics and the ability to resist many common attacks simultaneously is proposed in this paper, at the same time the security route selection algorithm is also optimized by taking trust degree and QoS metrics into account. Performance analysis and simulation results show that TSSRM can improve the security and effectiveness of WSN.


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  • Sensor nodes, including the movement and energy consumption of sensor nodes.
  • The trust degree of sensor node is evaluated according to these characters, and then the trust degree of route is calculated and the trust calculation model of network is established to get the optimal route from the source node to the destination node.
  • Smart cities that rely on different types of distributed intelligent devices can provide urban residents with a wide range of applications such as environmental monitoring, traffic management, and social entertainment. 
  • WSN with the characteristic of low cost, rapid deployment and self-organization plays a vital role in facilitating the services of smart city. The ubiquitous sensor nodes can both collect the physical information of urban environment and control the public and private facilities in the context of smart urban environment.



  • At present, the existing secure routing algorithms are usually directed against specific malicious or selfish behavior attacks, since they mainly rely on encryption algorithms and authentication mechanisms, which are not suitable for the multi-hop distributed and energy-constrained WSN
  • The multi-hop routing is vulnerable to various types of attacks due to the open, distributed and dynamic characteristic of WSN, which has a serious impact on data and information security.
  • The conventional routing protocol based on trust is difficult to ensure the security of multi-hop information transmission
  • The existing routing protocol based on trust has certain limitations
  • Trust is significantly different from other normal route indicators, such as the number of hops, delay or other QoS requirements
  • The scheme based on trust can handle inherent attacks in WSN they also prompt some new risks




A presents a trust sensing based secure routing mechanism to handle common network attacks. An optimized routing algorithm  is proposed by using semiring theory, which considers the trust degree and other QoS metrics. Simulation results show that TSSRM can reduce the routing overhead and improve the reliability of data transmission compared with the traditional trust mechanism. Future research will design a distributed intrusion detection system for WSN, which may provide a new way for the research of trust degree and ubiquitous routing




• This paper analyzes the behavior of sensor nodes, including the movement and energy consumption of sensor nodes.

• The proposed routing algorithm is applied to the secure routing mechanism to achieve the efficient and reliable transmission of data 

• Construct trust degree by behavior and energy, and combine with QoS to design routing metrics so that TSSRM with lower cost can resist several kinds of typical attacks.

• The proposed routing algorithm is applied to the secure routing mechanism to achieve the efficient and reliable transmission of data




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  • Operating system : Windows XP/7.
  • Coding Language :,
  • Tool         : Visual Studio 2010
  • Database         : SQL SERVER 2008



Trust sensing based secure routing mechanism (TSSRM) is proposed according to the constructed routing metrics and the optimal credible route selection algorithm.




[1] O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus, and A. Yener, ”Transmission with energy harvesting nodes in fading wireless channels: optimal policies,” IEEE Journal on Selected Areas in Communications, vol. 29, no. 8, pp. 1732-1743, Sep. 2011.

[2] N. Marlon, C. Jose, A. B. Campelo, O. Rafael, V. C. Juan, and J. S. Juan, ”Active low intrusion hybrid monitor for wireless sensor networks,”Sensors, vol. 15, no. 3, pp. 23927-23952, 2015.

[3] G. Ottman, A. Bhatt, H. Hofmann, and G. Lesieutre, ”Adaptive piezoelectric energy harvesting circuit for wireless, remote power supply,” IEEE Transactions on Power Electronics, vol. 17, no. 5, pp. 669-676, Sep. 2002.

[4] A. K. A. Mohammad, and S. Gadadhar, ”Enhancing cooperation in MANET using neighborhood compressive sensing model,” Egyptian Informatics Journal, vol. 6, no. 1, pp. 1-15, 2016

[5] G. Uttam G, and D. Raja, ”SDRP: secure and dynamic routing protocol for mobile ad-hoc networks,” IET Networks, vol. 3, no. 2, pp. 235-243, 2014

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