Mobile Couriers' selection for the Smart-grid in Smart-cities' Pervasive Sensing

Al-Turjman, Fadi
The explosion of wireless devices has given rise to numerous data-sharing applications in smart-cities' Pervasive Sensing (PS) paradigms. This vision has been further expanded in the Internet of Things (IoT) era to embrace multipurpose resources within a smart city setup such as public sensors on roads/vehicles, cameras, RFID tags, and readers. The realization of such a prophecy is significantly challenged in terms of connectivity disruption, resource management, and data gathering under mobile conditions. In this paper, we present a hybrid pervasive sensing framework for data gathering in IoT-enabled smart-cities' paradigm. This framework satisfies service-oriented applications in smart cities where data is provided via data access points (APs) of various resources. Moreover, public vehicles are used in this work as Data Couriers (DCs) that read these APs data packets and relay it back to a base-station in the city. Accordingly, we propose a hybrid fitness function for a genetic-based DCs selection approach. Our function considers resource limitations in terms of count, storage capacity and energy consumption as well as the targeted application characteristics. Extensive simulations are performed and the effectiveness of the proposed approach has been confirmed against other heuristic approaches with respect to total travelled distances and overall data-delivery cost.


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Satisfactory results obtained from sensor networks and the ongoing development in electronics and wireless communications have led to an impressive boost in the number of applications based on WSNs. Along with the growth in popularity of WSNs, previously implemented solutions need further improvements and new challenges arise which need to be solved. One of the main concerns regarding WSNs is the existence of security threats against their routing operations. Likelihood of security attacks in a structure su...
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Uzun, Erkay; Yazıcı, Adnan; Department of Computer Engineering (2010)
Energy is a limited source in wireless sensor networks and in most applications, it is non-renewable; so designing energy-effcient communication patterns is very important. In this thesis, we define the static range assignment (SRA) problem for wireless sensor networks, which focuses on providing the required connectivity in the network with minimum energy consumption. We propose minimum spanning tree based (MST), pruned minimum spanning tree based (MSTP) and shortest path incremental (SPI) algorithms as eff...
Citation Formats
F. Al-Turjman, “Mobile Couriers’ selection for the Smart-grid in Smart-cities’ Pervasive Sensing,” FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, pp. 327–341, 2018, Accessed: 00, 2020. [Online]. Available: