Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks

By Eugene Shih, Seong-Hwan Cho, N. Ickes, R. Min, A. Sinha, Alice Wang, Anantha P. Chandrakasan. ACM/IEEE International Conference on Mobile Computing and Networking, 2001

1,111 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/43a92f573763d202796e4bc0e5b0f72878fb32c1

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Citations in the corpus

ESRT: event-to-sink reliable transport in wireless sensor networks (2003, background): “This is reasonable with static sensor nodes, slowly time-varying ([7, 8]) and spatially separated channels for communication from event-to-sink in WSN applications.”
A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, background): “Since most of these devices have limited battery life and it is infeasible to replenish energy via replacing batteries on up to tens of thousands of sensors in most of the applications, it is well accepted that a WSN should be deployed with high density (up to 20 nodes/m(3) [5]) to prolong the netwo”
Sensor Networks (2002, methodology): “It ensures reliable point-to-point and point-to-multipoint connections in a communication network.”
Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches (2009, background): “The uAMPS wireless sensor node, described in [26], considers the hardware capabilities and the features of the microprocessors and transceivers simultaneously to save limited power source of the sensor node.”
Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Energy and Latency Performance (2003, background): “As to the MAC itself, most papers in the literature assume either TDMA-based schemes [4] or multichannel setups in which parallel transmissions can be performed without interference [5], [6] or variants of classic contention-based schemes, usually based on RTS/CTS handshake in order to mitigate the ”
Wireless sensor network survey (2008, background): “Binary and M-ary modulation: In [108,110], a comparison is drawn between binary modulation and multi-level (Mary) modulation.”
Data Capacity Improvement of Wireless Sensor Networks Using Non-Uniform Sensor Distribution (2006, background): “Unlike a mobile ad hoc network (MANET) where bandwidth efficiency and throughput are two important metrics, energy conservation is an important design consideration for WSNETs since sensors are constrained by battery power.”
Handbook of Sensor Networks: Algorithms and Architectures (2005, background): “The authors in [54] suggest the protocol stack for sensor nodes and actor nodes consist of three planes:”
Maintaining Sensing Coverage and Connectivity in Large Sensor Networks (2005, background): “to tens of thousands of sensors in most of the applications, it is well accepted that a sensor network should be deployed with high density (up to 20 nodes/ m(3) [26]) in order to prolong the network lifetime.”
Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks: Multihop Performance (2003, background): “As to MAC schemes, most papers in the literature assume either TDMA-based schemes [11], [12] or multichannel setups in which parallel transmissions can be performed without interference [13], [14] or variants of classic contention-based schemes, usually based on RTS/ CTS handshake in order to…”
Bounding the lifetime of sensor networks via optimal role assignments (2002, background): “See [2], [3], [4] for some representative work.”
An on-demand minimum energy routing protocol for a wireless ad hoc network (2002, background): “Shih et al. [ 22 ] introduce the design of physical layer aware protocols, algorithms and applications that minimize energy consumption of the system and individual nodes.”
Position Based Routing Algorithms for Ad Hoc Networks: A Taxonomy (2004, background): “Feeney and Nillson [FN] and MIT researchers [ SCIMSWC ] concluded that the idle power consumption is nearly as large as that of receiving data.”
On deriving the upper bound of α-lifetime for large sensor networks (2004, background): “As shown in the empirical study in [19, 10], energy is consumed not only by active communications, but also by wireless devices in the idle and/or sensing state.”
Sensor networks with mobile agents (2003, methodology): “Since the transceiver could consume 2-3 times more power in receiving than in transmitting [2] and a sensor can have a large number of neighbors in densely deployed networks, power consumed by packet reception can dominate the overall energy consumption.”
The Coverage Problem in a Wireless Sensor Network (2003, background): “…[Analysis of Algorithms and Problem Complexity]: Nonnumerical Algorithms and Problems Geometrical problems and computations, Routing and layout General Terms Algorithms, Measurement, Reliability, Performance, Theory Keywords ad hoc network, computer geometry, coverage problem, ubiquitous…”