| Title | Trust-aware routing protocol for mobile crowdsensing environments |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Ghafoor, K. Z., Kong, L., Sadiq, A. S., Doukha, Z., Shareef, F. M. |
| Conference Name | IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
| Date Published | apr |
| Keywords | composability, Conferences, energy conservation, Energy efficiency, FR solution, friendship mechanism, Fuzzy logic, link quality, link quality node selection, MCS, Measurement, mobile computing, mobile crowdsensing environments, multi-metric decision, network lifetime, optimal routing decision, packet delivery ratio, pubcrawl, residual energy, Resiliency, Routing, Routing protocols, Scalability, sensor lifetime, Signal to noise ratio, sink node, social behaviour, suboptimal data forwarding, telecommunication power management, Trust management, Trust Routing, trust-aware routing protocol, Wireless sensor networks |
| Abstract | Link quality, trust management and energy efficiency are considered as main factors that affect the performance and lifetime of Mobile CrowdSensing (MCS). Routing packets toward the sink node can be a daunting task if aforementioned factors are considered. Correspondingly, routing packets by considering only shortest path or residual energy lead to suboptimal data forwarding. To this end, we propose a Fuzzy logic based Routing (FR) solution that incorporates social behaviour of human beings, link quality, and node quality to make the optimal routing decision. FR leverages friendship mechanism for trust management, Signal to Noise Ratio (SNR) to assure good link quality node selection, and residual energy for long lasting sensor lifetime. Extensive simulations show that the FR solution outperforms the existing approaches in terms of network lifetime and packet delivery ratio. |
| DOI | 10.1109/INFCOMW.2018.8407030 |
| Citation Key | ghafoor_trust-aware_2018 |
Trust-aware routing protocol for mobile crowdsensing environments