Mobility improves coverage of sensor networks
By Benyuan Liu, Peter Braß, Olivier Dousse, Philippe Nain, D. Towsley. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2005
600 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0926b91a0e3dba96580915cc202fddd6640a9a61
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Shane B. Eisenman
- Uichin Lee
- Nicholas Donald Lane
- Antonio Corradi
- Andrew T. Campbell
- Mario Gerla
- Isaac Amundson
- Xenofon D. Koutsoukos
In Electrical and Electronic Engineering
- Antonio Corradi
- Nicholas Donald Lane
- Andrew T. Campbell
- Mario Gerla
- Isaac Amundson
- Xenofon D. Koutsoukos
- Paolo Bellavista
- Shane B. Eisenman
Citations in the corpus
- People-centric urban sensing (2006, methodology): “A similar conclusion based on analysis for a random initial deployment strategy and a random mobility model is found in [25] However, what we do not characterize here is the delay cost.”
- Drone networks: Communications, coordination, and sensing (2018, unknown): “Mobile sensor networks have been under investigation and it has been shown that mobility, while complicating the design of higher layer algorithms, also can improve the network, for instance, in terms of capacity, coverage, etc. [31],[32].”
- A Survey on Localization for Mobile Wireless Sensor Networks (2009, background): “In fact, it has been shown [17], [18] that the integration of mobile entities into WSNs improves coverage, and hence, utility of the sensor network deployment.”
- Mobeyes: smart mobs for urban monitoring with a vehicular sensor network (2006, background): “Moreover, a mobile sensor node improves sensing coverage [17].”