Investigating the energy consumption of a wireless network interface in an ad hoc networking environment

By L. Feeney, Martin Nilsson. Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213), 2001

1,945 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/b0bcdd43c9dfee951c5d1b33e996926bfc895693

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Citations in the corpus

Coverage by directional sensors in randomly deployed wireless sensor networks (2006, positive): “These energy consumption values are chosen to match the results in Feeney and Nilsson (2001), where they have noted that the receive and idle modes may require as much energy as transmitting while the sleep mode requires the least energy.”
Energy-efficient collision-free medium access control for wireless sensor networks (2003, neutral): “Here,only the nodes at the edge generate traffic and we assume that the nodes do data 4 Measurements for 802.11 based radios are available in [ 12 ].”
Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks (2002, background): “This is because the energy used by standard wireless interfaces just to sense the channel can be nearly as much as that used in receiving a message and about 60% of the energy used in transmitting [8].”
An energy efficient MAC protocol for wireless LANs (2002, background): “mechanisms at various layers of the protocol stack, including work on routing [1] [2] [3] [4], medium access control (MAC) [5] [6] [7] [8] [9], and transport protocols [10] [11] [12].”
Position Based Routing Algorithms for Ad Hoc Networks: A Taxonomy (2004, background): “It also assumes that delay is proportional to hop count (when the impact of congestion is not significant), and that the (both energy and bandwidth) cost of starting communication with neighbor is considerable (this is supported by the analysis in [Fe, FN ]).”
Mobile ad hoc networking: imperatives and challenges (2003, background): “11 ‘‘Wi-Fi’’ wireless interfaces [61,86,98,225] show that the ratio between power consumption in the transmit and idle state is less than two (the receiving state being intermediate); furthermore, the idle-state power consumption is about one order of magnitude greater than that in the sleep state.”
Minimizing Energy for Wireless Web Access with Bounded Slowdown (2002, background): “BSD is an optimal solution to the problem of minimizing energy consumption while guaranteeing that a connection s RTT does not increase by more than a factor pover its base RTT, where pis a protocol parameter that exposes the trade-off between minimizing energy and reducing latency.”
Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks (2001, result): “We summarize the time-averaged results in Table 1, and note that these closely match the results obtained by Feeney and Nilsson [6] for similar 802.”
Routing Mechanisms for Mobile Ad Hoc Networks Based on the Energy Drain Rate (2003, background): “Various works on power-aware protocols have appeared recently, see [4], [5], [6], [7], [8], [9], [10], [11].”
Online power-aware routing in wireless Ad-hoc networks (2001, background): “Table 1: Power Consumption Comparison among Different Wireless LAN Cards ([21, 10, 32]).”
Asynchronous wakeup for ad hoc networks (2003, neutral): “This paper presents a systematic approach to designing and implementing asynchronous wakeup mechanisms in ad hoc networks.”
Wake on wireless: an event driven energy saving strategy for battery operated devices (2002, methodology): “In [7], the current is measured indirectly; the authors monitor the voltage change vR(t) across a small resistor R placed between the supply and input voltages.”
Power-saving protocols for IEEE 802.11-based multi-hop ad hoc networks (2002, methodology): “The power model in [ 29 ] is adopted, which is obtained by real experiments on Lucent WaveLAN cards.”
Vertical Handoff Decision Algorithms for Providing Optimized Performance in Heterogeneous Wireless Networks (2009, methodology): “assumed to be exponentially distributed with a mean of 5 mJ/s [24].”
Real-time communication and coordination in embedded sensor networks (2003, background): “by the observation that the energy consumption of a mobile node in the idle state is only slightly smaller than that in the transmission or receiving state [47].”
Cross-layer optimization for energy-efficient wireless communications: a survey (2009, methodology): “The energy consumption of a Lucent WaveLAN IEEE 802.11 wireless network interface is measured in [ 45 ] to obtain knowledge of energy consumption behavior of actual wireless devices.”
On-demand power management for ad hoc networks (2003, background): “It has been observed that in ad hoc networks, energy consumption does not always reflect active communication in the network [1].”