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 "Data Capacity Improvement of Wireless Sensor Networks Using Non-Uniform Sensor Distribution"):
  Abstract: Energy conservation is an important design consideration for battery powered wireless sensor networks (WSNET). Energy constraint in WSNETs limits the total amount of sensed data (data capacity) received by sinks. In the commonly used static model of sensor networks with uniformly distributed homogenous sensors with a stationary sink, sensors close to the sink drain their energy much faster than sensors far away from the sink due to the unevenly distributed forwarding workloads among sensors. A major issue, which has not been adequately addressed so far, is the question of how sensor deployment governs the data capacity, and how to improve data capacity of WSNETs. In our previous work, we provided a simple analytical model to address this issue for one specific type of WSNETs. In this paper, we extend our previous work to address this issue for general WSNETs. In the extended static models, for large networks, we find that after the lifetime of a sensor network is over, there is a great amount of energy le...

Includes members:
  Member "On the many-to-one transport capacity of a dense wireless sensor network and the compressibility of its data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Imposed Route Reuse in Ad Hoc Network Routing Protocols Using Structured Peer-to-Peer Overlay Routing")
  Member "Deployment guidelines for achieving maximum lifetime and avoiding energy holes in sensor network":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "A Flow-Partitioned Unequal Clustering Routing Algorithm for Wireless Sensor Networks")

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