A Literature Review of Location-Aware Computing Policies

Abstract

Location-aware computing systems implementation has the challenge of maintaining its consistency due to frequent disconnections in the mobile environment. Many other exciting issues associated with this domain provide a fertile ground for many mobile database researchers to tackle. This work contributes by taking up-to-date literature on current location-aware mobile data management practices. The paper includes taxonomy for caching, map-matching, and location privacy protection with spatial-temporal queries, unlike other review papers, which only address a specific aspect of location-dependent data management. First, an in-depth analysis of state-of-the-art and classified literature is presented, taking into account the domain of application models and approaches for evaluation. Secondly, it provides a theoretical and analytical investigation of location-conscious computing approaches available in the literature, examining the merit and demerit of each method and the evolving processes between them. Finally, the paper highlighted the outstanding opportunities for future research directions.

A Comprehensive Review of Map-Matching Techniques

“…GPS suffers from the issue of line-of-sight, low-visibility area of sensors such as near-fly-overs, highly tree-lined streets, caves, and urban canyons (Grejner-brzezinska et al, 2004). Stand-alone GPS for many location-based applications (Gupta & Shanker, 2020a) (Gupta & Shanker, 2020b) (Gupta & Shanker, 2020c) will not achieve the necessary navigation efficiency in some comparatively harsh operating environments. GPS must be combined with the other sensors to compensate for this limitation such as Dead Reckoning (DR) and road maps utilizing Geographic Information System (GIS) to include horizontal orientation support and a Digital Elevation Model (DEM) to minimize the complexity in the vertical direction.…”