The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Wendi Heinzelman - One of the best experts on this subject based on the ideXlab platform.
-
Duty Cycle control for low power listening mac protocols
IEEE Transactions on Mobile Computing, 2010Co-Authors: Christophe J. Merlin, Wendi HeinzelmanAbstract:Energy efficiency is of the utmost importance in wireless sensor networks. The family of Low-Power-Listening MAC protocols was proposed to reduce one form of energy dissipation-idle listening, a radio state for which the energy consumption cannot be neglected. Low-Power-Listening MAC protocols are characterized by a Duty Cycle: a node probes the channel every t_i {\rm s} of sleep. A low Duty Cycle favors receiving nodes because they may sleep for longer periods of time, but at the same time, contention may increase locally, thereby reducing the number of packets that can be sent. We propose two new approaches to control the Duty Cycle so that the target rate of transmitted packets is reached, while the consumed energy is minimized. The first approach, called asymmetric additive Duty Cycle control (AADCC), employs a linear increase/linear decrease in the t_i value based on the number of successfully received packets. This approach is easy to implement, but it cannot provide an ideal solution. The second approach, called dynamic Duty Cycle control (DDCC) utilizes control theory to strike a near-optimal balance between energy consumption and packet delivery successes. We generalize both approaches to multihop networks. Results show that both approaches can appropriately adjust t_i to the current network conditions, although the dynamic controller (DDCC) yields results closer to the ideal solution. Thus, the network can use an energy saving low Duty Cycle, while delivering up to four times more packets in a timely manner when the offered load increases.
-
Duty Cycle Control for
2010Co-Authors: Christophe J. Merlin, Wendi HeinzelmanAbstract:Energy efficiency is of the utmost importance in wireless sensor networks. The family of Low-Power-Listening MAC protocols was proposed to reduce one form of energy dissipation—idle listening, a radio state for which the energy consumption cannot be neglected. Low-Power-Listening MAC protocols are characterized by a Duty Cycle: a node probes the channel every ti s of sleep. A low Duty Cycle favors receiving nodes because they may sleep for longer periods of time, but at the same time, contention may increase locally, thereby reducing the number of packets that can be sent. We propose two new approaches to control the Duty Cycle so that the target rate of transmitted packets is reached, while the consumed energy is minimized. The first approach, called asymmetric additive Duty Cycle control (AADCC), employs a linear increase/linear decrease in the ti value based on the number of successfully received packets. This approach is easy to implement, but it cannot provide an ideal solution. The second approach, called dynamic Duty Cycle control (DDCC) utilizes control theory to strike a near-optimal balance between energy consumption and packet delivery successes. We generalize both approaches to multihop networks. Results show that both approaches can appropriately adjust ti to the current network conditions, although the dynamic controller (DDCC) yields results closer to the ideal solution. Thus, the network can use an energy saving low Duty Cycle, while delivering up to four times more packets in a timely manner when the offered load increases. Index Terms—Medium access control, Duty Cycle, control, low-power-listening.
-
Duty Cycle control for low power listening mac protocols
Mobile Adhoc and Sensor Systems, 2008Co-Authors: Christophe J. Merlin, Wendi HeinzelmanAbstract:Energy efficiency is of the utmost importance in wireless sensor networks. The family of low-power-listening MAC protocols was proposed to reduce one form of energy dissipation-idle listening, a radio state for which the energy consumption cannot be neglected. Low-power-listening (also called channel probing) MAC protocols are characterized by a Duty Cycle: a node probes the channel every ti s of sleep. A low Duty Cycle favors receiving nodes because they may sleep for longer periods of time, but at the same time, contention may increase locally, thereby reducing the number of packets that can be sent. We propose a new approach to dynamically control the Duty Cycle so that the target rate of transmitted packets is reached, while the consumed energy is minimized. Our approach utilizes control theory and adapts it to the control of ti for low-power-listening MAC protocols in wireless sensor networks. Results show that this approach can appropriately adjust ti to the current network conditions.
Christophe J. Merlin - One of the best experts on this subject based on the ideXlab platform.
-
Duty Cycle control for low power listening mac protocols
IEEE Transactions on Mobile Computing, 2010Co-Authors: Christophe J. Merlin, Wendi HeinzelmanAbstract:Energy efficiency is of the utmost importance in wireless sensor networks. The family of Low-Power-Listening MAC protocols was proposed to reduce one form of energy dissipation-idle listening, a radio state for which the energy consumption cannot be neglected. Low-Power-Listening MAC protocols are characterized by a Duty Cycle: a node probes the channel every t_i {\rm s} of sleep. A low Duty Cycle favors receiving nodes because they may sleep for longer periods of time, but at the same time, contention may increase locally, thereby reducing the number of packets that can be sent. We propose two new approaches to control the Duty Cycle so that the target rate of transmitted packets is reached, while the consumed energy is minimized. The first approach, called asymmetric additive Duty Cycle control (AADCC), employs a linear increase/linear decrease in the t_i value based on the number of successfully received packets. This approach is easy to implement, but it cannot provide an ideal solution. The second approach, called dynamic Duty Cycle control (DDCC) utilizes control theory to strike a near-optimal balance between energy consumption and packet delivery successes. We generalize both approaches to multihop networks. Results show that both approaches can appropriately adjust t_i to the current network conditions, although the dynamic controller (DDCC) yields results closer to the ideal solution. Thus, the network can use an energy saving low Duty Cycle, while delivering up to four times more packets in a timely manner when the offered load increases.
-
Duty Cycle Control for
2010Co-Authors: Christophe J. Merlin, Wendi HeinzelmanAbstract:Energy efficiency is of the utmost importance in wireless sensor networks. The family of Low-Power-Listening MAC protocols was proposed to reduce one form of energy dissipation—idle listening, a radio state for which the energy consumption cannot be neglected. Low-Power-Listening MAC protocols are characterized by a Duty Cycle: a node probes the channel every ti s of sleep. A low Duty Cycle favors receiving nodes because they may sleep for longer periods of time, but at the same time, contention may increase locally, thereby reducing the number of packets that can be sent. We propose two new approaches to control the Duty Cycle so that the target rate of transmitted packets is reached, while the consumed energy is minimized. The first approach, called asymmetric additive Duty Cycle control (AADCC), employs a linear increase/linear decrease in the ti value based on the number of successfully received packets. This approach is easy to implement, but it cannot provide an ideal solution. The second approach, called dynamic Duty Cycle control (DDCC) utilizes control theory to strike a near-optimal balance between energy consumption and packet delivery successes. We generalize both approaches to multihop networks. Results show that both approaches can appropriately adjust ti to the current network conditions, although the dynamic controller (DDCC) yields results closer to the ideal solution. Thus, the network can use an energy saving low Duty Cycle, while delivering up to four times more packets in a timely manner when the offered load increases. Index Terms—Medium access control, Duty Cycle, control, low-power-listening.
-
Duty Cycle control for low power listening mac protocols
Mobile Adhoc and Sensor Systems, 2008Co-Authors: Christophe J. Merlin, Wendi HeinzelmanAbstract:Energy efficiency is of the utmost importance in wireless sensor networks. The family of low-power-listening MAC protocols was proposed to reduce one form of energy dissipation-idle listening, a radio state for which the energy consumption cannot be neglected. Low-power-listening (also called channel probing) MAC protocols are characterized by a Duty Cycle: a node probes the channel every ti s of sleep. A low Duty Cycle favors receiving nodes because they may sleep for longer periods of time, but at the same time, contention may increase locally, thereby reducing the number of packets that can be sent. We propose a new approach to dynamically control the Duty Cycle so that the target rate of transmitted packets is reached, while the consumed energy is minimized. Our approach utilizes control theory and adapts it to the control of ti for low-power-listening MAC protocols in wireless sensor networks. Results show that this approach can appropriately adjust ti to the current network conditions.
Dongning Guo - One of the best experts on this subject based on the ideXlab platform.
-
Capacity of Gaussian Channels with Duty Cycle and Power Constraints
arXiv: Information Theory, 2012Co-Authors: Lei Zhang, Dongning GuoAbstract:In many wireless communication systems, radios are subject to a Duty Cycle constraint, that is, a radio only actively transmits signals over a fraction of the time. For example, it is desirable to have a small Duty Cycle in some low power systems; a half-duplex radio cannot keep transmitting if it wishes to receive useful signals; and a cognitive radio needs to listen and detect primary users frequently. This work studies the capacity of scalar discrete-time Gaussian channels subject to Duty Cycle constraint as well as average transmit power constraint. An idealized Duty Cycle constraint is first studied, which can be regarded as a requirement on the minimum fraction of nontransmissions or zero symbols in each codeword. A unique discrete input distribution is shown to achieve the channel capacity. In many situations, numerically optimized on-off signaling can achieve much higher rate than Gaussian signaling over a deterministic transmission schedule. This is in part because the positions of nontransmissions in a codeword can convey information. Furthermore, a more realistic Duty Cycle constraint is studied, where the extra cost of transitions between transmissions and nontransmissions due to pulse shaping is accounted for. The capacity-achieving input is no longer independent over time and is hard to compute. A lower bound of the achievable rate as a function of the input distribution is shown to be maximized by a first-order Markov input process, the distribution of which is also discrete and can be computed efficiently. The results in this paper suggest that, under various Duty Cycle constraints, departing from the usual paradigm of intermittent packet transmissions may yield substantial gain.
-
ISIT - Capacity of Gaussian channels with Duty Cycle and power constraints
2011 IEEE International Symposium on Information Theory Proceedings, 2011Co-Authors: Lei Zhang, Dongning GuoAbstract:In many wireless communication systems, radios are subject to Duty Cycle constraint, that is, a radio only actively transmits signals over a fraction of the time. For example, it is desirable to have a small Duty Cycle in some low power systems; a half-duplex radio cannot keep transmitting if it wishes to receive useful signals; and a cognitive radio needs to listen and detect primary users frequently. This work studies the capacity of scalar discrete-time Gaussian channels subject to Duty Cycle constraint as well as average transmit power constraint. The Duty Cycle constraint can be regarded as a requirement on the minimum fraction of nontransmission or zero symbols in each codeword. A unique discrete input distribution is shown to achieve the channel capacity. In many situations, numerical results demonstrate that using the optimal input can improve the capacity by a large margin compared to using Gaussian signaling over a deterministic transmission schedule, which is capacity-achieving in the absence of the Duty Cycle constraint. This is in part because the positions of the nontransmission symbol in a codeword can convey information. The results suggest that, under the Duty Cycle constraint, departing from the usual paradigm of intermittent packet transmissions may yield substantial gain.
G Deepak - One of the best experts on this subject based on the ideXlab platform.
-
binary addressing technique with Duty Cycle control for lcds
IEEE Transactions on Electron Devices, 2005Co-Authors: Temkar N Ruckmongathan, M Govind, S V Ashoka, G DeepakAbstract:Introduction of Duty Cycle in the binary addressing technique is proposed to enable integration of liquid crystal display drivers with a digital system in a single chip. An analysis of this technique with Duty-Cycle control is presented. Effects of Duty-Cycle control on brightness uniformity of pixels in the liquid crystal display are discussed. A system on chip implementation of the technique is also demonstrated.
-
Binary addressing technique with Duty Cycle control for LCDs
IEEE Transactions on Electron Devices, 2005Co-Authors: Temkar N Ruckmongathan, M Govind, S V Ashoka, G DeepakAbstract:Introduction of Duty Cycle in the binary addressing technique is proposed to enable integration of liquid crystal display drivers with a digital system in a single chip. An analysis of this technique with Duty-Cycle control is presented. Effects of Duty-Cycle control on brightness uniformity of pixels in the liquid crystal display are discussed. A system on chip implementation of the technique is also demonstrated.
Lei Zhang - One of the best experts on this subject based on the ideXlab platform.
-
Capacity of Gaussian Channels with Duty Cycle and Power Constraints
arXiv: Information Theory, 2012Co-Authors: Lei Zhang, Dongning GuoAbstract:In many wireless communication systems, radios are subject to a Duty Cycle constraint, that is, a radio only actively transmits signals over a fraction of the time. For example, it is desirable to have a small Duty Cycle in some low power systems; a half-duplex radio cannot keep transmitting if it wishes to receive useful signals; and a cognitive radio needs to listen and detect primary users frequently. This work studies the capacity of scalar discrete-time Gaussian channels subject to Duty Cycle constraint as well as average transmit power constraint. An idealized Duty Cycle constraint is first studied, which can be regarded as a requirement on the minimum fraction of nontransmissions or zero symbols in each codeword. A unique discrete input distribution is shown to achieve the channel capacity. In many situations, numerically optimized on-off signaling can achieve much higher rate than Gaussian signaling over a deterministic transmission schedule. This is in part because the positions of nontransmissions in a codeword can convey information. Furthermore, a more realistic Duty Cycle constraint is studied, where the extra cost of transitions between transmissions and nontransmissions due to pulse shaping is accounted for. The capacity-achieving input is no longer independent over time and is hard to compute. A lower bound of the achievable rate as a function of the input distribution is shown to be maximized by a first-order Markov input process, the distribution of which is also discrete and can be computed efficiently. The results in this paper suggest that, under various Duty Cycle constraints, departing from the usual paradigm of intermittent packet transmissions may yield substantial gain.
-
ISIT - Capacity of Gaussian channels with Duty Cycle and power constraints
2011 IEEE International Symposium on Information Theory Proceedings, 2011Co-Authors: Lei Zhang, Dongning GuoAbstract:In many wireless communication systems, radios are subject to Duty Cycle constraint, that is, a radio only actively transmits signals over a fraction of the time. For example, it is desirable to have a small Duty Cycle in some low power systems; a half-duplex radio cannot keep transmitting if it wishes to receive useful signals; and a cognitive radio needs to listen and detect primary users frequently. This work studies the capacity of scalar discrete-time Gaussian channels subject to Duty Cycle constraint as well as average transmit power constraint. The Duty Cycle constraint can be regarded as a requirement on the minimum fraction of nontransmission or zero symbols in each codeword. A unique discrete input distribution is shown to achieve the channel capacity. In many situations, numerical results demonstrate that using the optimal input can improve the capacity by a large margin compared to using Gaussian signaling over a deterministic transmission schedule, which is capacity-achieving in the absence of the Duty Cycle constraint. This is in part because the positions of the nontransmission symbol in a codeword can convey information. The results suggest that, under the Duty Cycle constraint, departing from the usual paradigm of intermittent packet transmissions may yield substantial gain.
