human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Review of geographic forwarding strategies for inter-vehicular communications from mobility and environment perspectives"):
  Abstract: Abstract   Vehicular Ad-hoc Network (VANET) is gaining more attention from academia and industries sectors due to its ability to enhance the road safety and improve the mobility and green environment. VANET networks do not depend on a fixed structure where vehicles moving very fast, which can result in frequent link breakages. Thus, routing protocols must be efficient and reliable to ensure data delivery, indeed, forwarding strategy is considered the core part of routing protocol where it is responsible for path selection. In literature, several works have been proposed to improve the performance of routing and forwarding strategies over vehicular networks. The main problem of current works is that they did not consider the main impact factors such as relative velocity between two connected vehicles, vehicle density, and channel condition. Therefore, this paper presents a review of the most related work in the field of forwarding strategy over VANET. A new classification of forwarding strategy is presented in this paper based on the selection parameters. Each classification presents a comprehensive review to identify the weaknesses and strengths points using examples.

Includes members:
  Member "Connectivity Analysis of Vehicular Ad Hoc Networks from a Physical Layer Perspective":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Characterization of Vehicle-to-Vehicle Radio Channels from Measurements at 5.2 GHz")

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science