Mobility increases the capacity of ad-hoc wireless networks

By Matthias Grossglauser, David Tse. Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213), 2001

3,310 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/e0631511784068f5698c7cde6e20384d59b735d0

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In Computer Networks and Communications

Citations in the corpus

Efficient Routing in Intermittently Connected Mobile Networks: The Multiple-Copy Case (2008, background): “Although this scheme performs only one transmission, it is extremely slow [22].”
The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks (2003, background): “For example, theoretical results with respect to routing ([1], [24]), capacity ([14], [17]), connectivity ([3], [16], [30]), and minimum power issues cannot be applied directly in a mobile scenario that employs the RWP model.”
Impact of Human Mobility on Opportunistic Forwarding Algorithms (2007, methodology): “Such an approach has been used to enable communication where no contemporaneous path may be found [7], to efficiently gather information in a network of low power sensors [13], [14], [15], and to improve the spatial reuse of dense MANET [10], [11].”
Exploiting Sink Mobility for Maximizing Sensor Networks Lifetime (2005, background): “Considering mobility as “a blessing” rather than a curse to network performance has been widely discussed for general ad hoc networks in different contexts [7]–[10].”
Capacity, delay and mobility in wireless ad-hoc networks (2003, methodology): “We will use the framework of [4] and [2].”
Dynamic power allocation and routing for time varying wireless networks (2003, methodology): “Finally, we implement both a centralized and a decentralized version of the policy for an ad-hoc wireless network with mobility, and simulate the system to compare with the Grossglauser-Tse relay algorithm of [13].”
Routing in Delay/Disruption Tolerant Networks: A Taxonomy, Survey and Challenges (2013, methodology): “Two-Hop-Relay [20] None Limited Not Mentioned Not Mentioned Not Mentioned”
A new networking model for biological applications of ad hoc sensor networks (2006, methodology): “virtual links created by mobility, similar to the model in [10], as well as physical links between nearby nodes.”
Design challenges for energy-constrained ad hoc wireless networks (2002, background): “This work was extended in [ 111 ] to show that node mobility actually increases the pernode rate to a constant (i.e., mobility increases network capacity).”
Drone networks: Communications, coordination, and sensing (2018, neutral): “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].”
Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks (2005, background): “In addition to increasing the lifetime of the system (by avoiding multi-hop communication), mobility has been shown to increase capacity [13], [14], help in calibration [15], [16], and assist in security [17].”
Controlled sink mobility for prolonging wireless sensor networks lifetime (2008, background): “Considering mobility as a “blessing” rather than a curse for network performance has been widely discussed for ad hoc and sensor networks in different contexts [11, 12, 17, 23, 26, 27, 30, 34, 56, 57].”
Topology control in wireless ad hoc and sensor networks (2005, result): “This phenomenon is con.rmed by theoretical as well as experimental results [Grossglauser and Tse 2001; Gupta and Kumar 2000; Li et al. 2001] which show that the communication graph in wireless ad hoc networks should be as sparse as possible, while preserving connectivity.”
Routing in multi-radio, multi-hop wireless mesh networks (2004, background): “Several researchers have studied the problem of capacity reduction in multi-hop wireless networks [22, 29, 21, 19] from a theoretical perspective.”
Transmission capacity of ad hoc networks with spatial diversity (2007, background): “A fundamental change occurs with significant mobility as [7] and [8] show since optimal routing can take on new forms to tradeoff throughput and delay.”
Throughput Maximization for UAV-Enabled Mobile Relaying Systems (2016, background): “Note that while node mobility has been well studied for upper layer designs in communication networks [15]–[17], its exploitation for more efficient physical layer designs has only received limited attention recently [18]–[25].”
Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence (2012, neutral): “Capturing human dynamics can also reveal the characteristic patterns of mobility of users and associated devices and services, which can subsequently be employed to provide increased robustness and resilience of next generation networks [37].”