A Trust-Based Secure Routing Scheme Using the Traceback Approach for Energy-Harvesting Wireless Sensor Networks

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 3; p. 751
• Main Authors: Tang, Jiawei, Liu, Anfeng, Zhang, Jian, Xiong, Neal N, Zeng, Zhiwen, Wang, Tian
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-03-2018; MDPI
• Subjects: disjoint routing; Energy; Energy conservation; Energy consumption; Energy harvesting; Energy storage; Internet of Things; Low level; Marking; network lifetime; Network security; Packets (communication); Remote sensors; Route planning; security; Storage capacity; wireless energy harvesting networks; Wireless networks; Wireless sensor networks; security; marking; wireless energy harvesting networks; network lifetime; disjoint routing
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18030751

The Internet of things (IoT) is composed of billions of sensing devices that are subject to threats stemming from increasing reliance on communications technologies. A Trust-Based Secure Routing (TBSR) scheme using the traceback approach is proposed to improve the security of data routing and maximize the use of available energy in Energy-Harvesting Wireless Sensor Networks (EHWSNs). The main contributions of a TBSR are (a) the source nodes send data and notification to sinks through disjoint paths, separately; in such a mechanism, the data and notification can be verified independently to ensure their security. (b) Furthermore, the data and notification adopt a dynamic probability of marking and logging approach during the routing. Therefore, when attacked, the network will adopt the traceback approach to locate and clear malicious nodes to ensure security. The probability of marking is determined based on the level of battery remaining; when nodes harvest more energy, the probability of marking is higher, which can improve network security. Because if the probability of marking is higher, the number of marked nodes on the data packet routing path will be more, and the sink will be more likely to trace back the data packet routing path and find malicious nodes according to this notification. When data packets are routed again, they tend to bypass these malicious nodes, which make the success rate of routing higher and lead to improved network security. When the battery level is low, the probability of marking will be decreased, which is able to save energy. For logging, when the battery level is high, the network adopts a larger probability of marking and smaller probability of logging to transmit notification to the sink, which can reserve enough storage space to meet the storage demand for the period of the battery on low level; when the battery level is low, increasing the probability of logging can reduce energy consumption. After the level of battery remaining is high enough, nodes then send the notification which was logged before to the sink. Compared with past solutions, our results indicate that the performance of the TBSR scheme has been improved comprehensively; it can effectively increase the quantity of notification received by the sink by 20%, increase energy efficiency by 11%, reduce the maximum storage capacity needed by nodes by 33.3% and improve the success rate of routing by approximately 16.30%.