You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era 
Chapter Title:  1) DRIVE SENSING 
1. Abstract of Cited Paper (BIB001):  In the recent past, great attention has been directed toward road surface condition monitoring. As a matter of fact, this activity is of critical importance in transportation infrastructure management. In response, multiple solutions have been proposed which make use of mobile sensing, more specifically contemporary applications and architectures that are used in both crowdsensing and vehicle-based sensing. This has allowed for automated control as well as analysis of road surface quality. These innovations have thus encouraged and showed the importance of cloud to provide reliable transport services to clients. Nonetheless, these initiatives have not been without challenges that range from mobility support, locational awareness, low latency, as well as geo-distribution. As a result, a new term has been coined for this novel paradigm, called, fog computing. In this paper, we propose a privacy-preserving protocol for enhancing security in vehicular crowdsensing-based road surface condition monitoring system using fog computing. At the onset, this paper proposes a certificateless aggregate signcryption scheme that is highly efficient. On the basis of the proposed scheme, a data transmission protocol for monitoring road surface conditions is designed with security aspects such as information confidentiality, mutual authenticity, integrity, privacy, as well as anonymity. In analyzing the system, the ability of the proposed protocol to achieve the set objectives and exercise higher efficiency with respect to computational and communication abilities in comparison to existing systems is also considered.

Literature Review:
Traffic monitoring is a significant participatory sensing application, where GPS enabled smartphones can offer priceless information about traffic conditions. It can sense driver/vehicle activities and behavior, sudden traffic events and risky/aggressive driving. It can also sense the traffic status (dynamic travel time, traffic congestions, etc.). Eventually, it will monitor the road conditions including potholes, road bumps, and slippery roads (using sensors attached to vehicles), vehicle fuel consumption, and emissions. Moreover, authorities can perform analysis of the collected data in terms of the detection of real-time traffic events, dynamic black spots, and can generate profiles for bad driving habits BIB001 , [26] . Other recent work, Basudan et al. BIB002 suggest a new idea for privacy preserving for vehicular crowdsensing. The idea is to introduce a certificateless aggregate signcryption scheme, (technique to accomplish both encryption and signature in one logical step), which is highly efficient in term of low communication overhead and fast verification. The authors developed a road surface condition monitoring system consisting of a control center, smart devices, and a cloud server.