Analysis of dynamic low power listening schemes in wireless sensor networks

Lee, Sungryoul; Choi, Jaehyuk; Na, Jongkeun; Kim, Chong-Kwon

doi:10.1109/lcomm.2009.081418

Cited by 9 publications

(9 citation statements)

References 4 publications

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“…Therefore A state aggregation technique and bi-dimensional Markov chain has been set up to analyze the system model successfully [13]. The transition probabilities and steady-state probabilities in system model can be given as…”

Section: Analysis and Resultsmentioning

confidence: 99%

An adaptive polling interval and short preamble media access control protocol for wireless sensor networks

De-fu

Zhang

2011

Front. Comput. Sci. China

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Media access control (MAC) protocols control how nodes access a shared wireless channel. It is critical to the performance of wireless sensor networks (WSN). An adaptive polling interval and short preamble MAC protocol (AX-MAC) is proposed in this paper. AX-MAC is an asynchronous protocol which composed of two basic features. First, rendezvous between the sender and the receiver is reached by a series of short preambles. Second, nodes dynamically adjust their polling intervals according to network traffic conditions. Threshold parameters used to determine traffic conditions and adjust polling intervals are analyzed based on a Markov chain. Energy consumption and network latency are also discussed in detail. Simulation results indicate that AX-MAC is suited to dynamic network traffic conditions and is superior to both X-MAC and Boost-MAC in energy consumption and latency.

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Section: Analysis and Resultsmentioning

confidence: 99%

An adaptive polling interval and short preamble media access control protocol for wireless sensor networks

De-fu

Zhang

2011

Front. Comput. Sci. China

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“…Thus, considering network traffic condition, the Boost-MAC [13] was proposed for dynamically setting the channel polling cycle and preamble length with their exponential increase and decrease. Also, S. Lee [14] developed the analysis of low power listening schemes such as the Boost-MAC. Boost-MAC aims to suit WSNs with constant communication patterns and bursty networks throughout network lifetime.…”

Section: Asynchronous Macmentioning

confidence: 99%

“…1. Fundamentally, like the Boost-MAC, the EMP needs the synchronization of the channel polling cycles among sensor nodes [14]; we thus adopt a clustered sensor network architecture [19]. The system consists of a monitoring computer, which connects with a coordinator and multiple clustering sensor nodes (i.e., the number of N nodes).…”

Section: System Designmentioning

confidence: 99%

Energy-Aware MAC Protocol to Extend Network Lifetime in Asynchronous MAC-Based WSNs

Kim¹,

Jeong

Park

2013

IEICE Trans. Commun.

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In Wireless Sensor Networks (WSNs), sensor nodes consume their limited battery energy to send and receive data packets for data transmission. If some sensor nodes transmit data packets more frequently due to imbalance in the network topology or traffic flows, they experience higher energy consumption. And if the sensor nodes are not recharged, they will be turned off from the lack of battery energy which will degrade network sustainability. In order to resolve this problem, this paper proposes an Energy-aware MAC Protocol (EMP), which adaptively decides on the size of the channel polling cycle consisting of the sleep state (not to communicate with its target node) and the listening state (to awaken to receive data packets), according to the network traffic condition. Moreover, in accordance with the remaining energy state of the sensor node, the minimum size of the channel polling cycle is increased for better energy saving. For performance evaluation and comparison, we develop a Markov chain-based analytical model and an event-driven simulator. Simulation results show that a sensor node with EMP effectively reduces its energy consumption in imbalanced network condition and traffic flows, while latency somewhat increases under insufficient remaining energy. As a consequence, a holistic perspective for enhanced network sustainability can be studied in consideration of network traffic condition as well as the remaining energy states of sensor nodes.

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“…Although computing the energy efficiency, the energy consumed by the nodes idle listening the channel is not considered. Lee et al presents a discrete time Markov chain model for dynamic low power listening scheme used in duty cycle‐based MAC protocols used in conjunction with long preambles (such as that in B‐MAC and WiseMAC) preceding every frame transmitted. The polling interval is adjusted based on the channel conditions.…”

Section: Related Workmentioning

confidence: 99%

A wireless sensor network for precision agriculture and its performance

Sahota

Kumar

Kamal

2011

Wireless Communications

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The use of wireless sensor networks is essential for implementation of information and control technologies in precision agriculture. We present our design of network stack for such an application where sensor nodes periodically collect data from fixed locations in a field. Our design of the physical layer consists of multiple power modes in both the receive and transmit operations for the purpose of achieving energy savings. In addition, we design our MAC layer to use these multiple power modes to improve the energy efficiency of wake‐up synchronization phase. Our MAC protocol also organizes all the sender nodes to be synchronized with the receiver simultaneously and transmit their data in a time scheduled manner. Next, we design our energy aware routing strategy that balances the energy consumption over the nodes in the entire field and minimizes the number of wake‐up synchronization overheads by scheduling the nodes for transmission in accordance with the structure of the routing tree. We develop analytical models and simulation studies to compare the energy consumption of our MAC protocol with that of the popular S‐MAC protocol for a typical network topology used in our application under our routing strategy. Our MAC protocol is shown to have better energy efficiency as well as latency in a periodic data collection application. We also show the improvements resulting from the use of our routing strategy, in simulations, compared with the case when the next hop is chosen randomly from the set of neighbors that are closer to the sink node. Copyright © 2011 John Wiley & Sons, Ltd.

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Analysis of dynamic low power listening schemes in wireless sensor networks

Cited by 9 publications

References 4 publications

An adaptive polling interval and short preamble media access control protocol for wireless sensor networks

An adaptive polling interval and short preamble media access control protocol for wireless sensor networks

Energy-Aware MAC Protocol to Extend Network Lifetime in Asynchronous MAC-Based WSNs

A wireless sensor network for precision agriculture and its performance

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