A novel energy-aware trustworthy multi-hop routing model for Internet of things

Internet of things is characterized by limited energy and distributed topology. In this scenario, a secure and energy-saving routing algorithm plays a significant role in ensuring the performance of Internet of things. Due to different standards and communication stacks, traditional security mechanisms heavily rely on trust management to function well. In this article, we propose an energy-aware trustworthy multi-hop routing model for Internet of things. To balance energy consumption and trust, the whole routing from source to destination should be considered for trust appraisal, rather than the destination peers merely. Meanwhile, the energy consumption of wise interaction should be regarded as one criterion. We also introduce a trustworthy spanning tree algorithm that is able to balance energy consumption and reduce trust cost. The experimental results suggest that the proposed strategy can lower energy consumption significantly under the premise of trustworthy transmission.

[1]  Elhadi M. Shakshuki,et al.  Toward a bio-inspired adaptive spatial clustering approach for IoT applications , 2017, Future Gener. Comput. Syst..

[2]  Fernando-Juan García-Diego,et al.  An energy-efficient internet of things (IoT) architecture for preventive conservation of cultural heritage , 2018, Future Gener. Comput. Syst..

[3]  Zhu Han,et al.  Information theoretic framework of trust modeling and evaluation for ad hoc networks , 2006, IEEE Journal on Selected Areas in Communications.

[4]  R. Prim Shortest connection networks and some generalizations , 1957 .

[5]  Junwei Han,et al.  2D-LBP: An Enhanced Local Binary Feature for Texture Image Classification , 2019, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Ajay Kumar,et al.  An Energy Efficient Approach for Routing in Wireless Sensor Networks , 2016 .

[7]  Jia Guo,et al.  Trust Management for SOA-Based IoT and Its Application to Service Composition , 2016, IEEE Transactions on Services Computing.

[8]  Djamal Zeghlache,et al.  Trust management system design for the Internet of Things: A context-aware and multi-service approach , 2013, Comput. Secur..

[9]  Jia Guo,et al.  A survey of trust computation models for service management in internet of things systems , 2017, Comput. Commun..

[10]  Syed Hassan Ahmed,et al.  A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks , 2015, Sensors.

[11]  Robert E. Tarjan,et al.  Depth-First Search and Linear Graph Algorithms , 1972, SIAM J. Comput..

[12]  Robert E. Tarjan,et al.  Finding optimum branchings , 1977, Networks.

[13]  Luigi Alfredo Grieco,et al.  Security, privacy and trust in Internet of Things: The road ahead , 2015, Comput. Networks.

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

[15]  Audun Jøsang,et al.  A Logic for Uncertain Probabilities , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[16]  Luigi Atzori,et al.  Trustworthiness Management in the Social Internet of Things , 2014, IEEE Transactions on Knowledge and Data Engineering.

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

[18]  Gu Li-ze,et al.  Trust management mechanism for Internet of Things , 2014, China Communications.

[19]  Roberto Riggio,et al.  DARE: evaluating Data Accuracy using node REputation , 2013, Comput. Networks.

[20]  Mehdi Karrari,et al.  Minimum cost load balanced multipath routing protocol for low power and lossy networks , 2014, Wirel. Networks.

[21]  Hwee Pink Tan,et al.  IM2PR: interference-minimized multipath routing protocol for wireless sensor networks , 2014, Wireless Networks.

[22]  Xuemin Shen,et al.  Design principles and improvement of cost function based energy aware routing algorithms for wireless sensor networks , 2012, Comput. Networks.

[23]  Eduardo Cerqueira,et al.  A Routing Protocol Based on Energy and Link Quality for Internet of Things Applications , 2013, Sensors.

[24]  Athanasios V. Vasilakos,et al.  A survey on trust management for Internet of Things , 2014, J. Netw. Comput. Appl..

[25]  Juan Manuel González Nieto,et al.  Mitigating On-Off attacks in reputation-based secure data aggregation for wireless sensor networks , 2012, Secur. Commun. Networks.

[26]  Jia Guo,et al.  Trust-Based Service Management for Social Internet of Things Systems , 2016, IEEE Transactions on Dependable and Secure Computing.

[27]  Guiran Chang,et al.  TRM-IoT: A trust management model based on fuzzy reputation for internet of things , 2011, Comput. Sci. Inf. Syst..