A mobile crowdsensing app for improved maritime security and awareness

Abstract

The marine and maritime domain is well represented in the Sustainable Development Goals (SDG) envisaged by the United Nations, which aim at conserving and using the oceans, seas and their resources for sustainable development. At the same time, there is a need for improved safety in navigation, especially in coastal areas. Up to date, there exist operational services based on advanced technologies, including remote sensing and in situ monitoring networks which provide aid to the navigation and control over the environment for its preservation. Yet, the possibilities offered by crowdsensing have not yet been fully explored. This paper addresses this issue by presenting an app based on a crowdsensing approach for improved safety and awareness at sea. The app can be integrated into more comprehensive systems and frameworks for environmental monitoring as envisaged in our future work.

UAV-Assisted Cluster-Based Task Allocation for Mobile Crowdsensing in a Space–Air–Ground–Sea Integrated Network

“…The detailed attributes of the UAVs can be denoted as , where is the sensing coverage ability of the UAV, and represents the cost for the task . For simplicity, we think the is directly related to the flying distance and proportional to it [ 19 ], i.e., , where denotes the flying distance for the sensing task .…”

“…For simplicity, we think the C V A θ j is directly related to the flying distance and proportional to it [19], i.e., C…”

“…Finally, they proposed a Q-learning-based task cooperation (QTC) mechanism based on edge computing, blockchain technology, and MCS. In order to conserve and utilize the oceans, seas, and their resources for sustainable development, Moroni D [ 19 ] presented an app based on a crowdsensing approach for SAGSINs to improve safety and awareness. However, although MCS is considered an effective scheme to meet several requirements of IoT applications, it still has many essential challenges to overcome, one of which is task allocation [ 20 ].…”