Enhanced power-saving mechanism to maximize operational efficiency in IEEE 802.16e systems

Kim, Min-Gon; Choi, JungYul; Kang, Minho

doi:10.1109/twc.2009.081151

Cited by 22 publications

(9 citation statements)

References 13 publications

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“…The above mentioned references assume that the power of MS in the sleep duration is constant but actually MS can be thought of powering down gradually.L.Kong et al [7] proposed a semi-markov based theoretical framework to design an appropriate sleep mode algorithm to increase the energy efficiency in the network. In [8][9][10] the authors have analyzed energy efficiency and delay of response in PSCI of IEEE 802.16e as a function of relative size of them. Some researchers follow Poisson distribution to study traffic pattern characteristics [II] whereas some others consider other distributions like Erlang distributed interarrival time [12] and Hyper Erlang distribution interval time [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Design and implementation of TDPC sleep scheduling algorithm for energy efficient networks

Sharma

Jha

Sharma

2014

International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)

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The key point for successful operation of routing based sensor networks is to save power consumption and thus utilize the energy efficiently. Researchers have been working on the same by following standard Type I, II and III sleep scheduling algorithms. In this paper we have proposed a new approach Traffic Dependent Power Conservation, which proactively measures and models the traffic of the network and the sleep window size is estimated by considering the entire traffic of network as a cumulative flow instead of individual patterns. Authors are successful in modeling the proposed approach TDPC (Traffic Dependent Power Conservation) toprovide enhanced capability to achieve power conservation.

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Section: Literature Reviewmentioning

confidence: 99%

Design and implementation of TDPC sleep scheduling algorithm for energy efficient networks

Sharma

Jha

Sharma

2014

International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)

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“…Thus, efficient management of their remaining energy state needs to be checked for keeping normal operation to send and receive sensor data packets. As operation time passes, their remaining energy will be decreased, and hence the importance of energy conservation increases [20]. In particular, if some sensor nodes transmit data packets more frequently, they could suffer from earlier remaining energy depletion.…”

Section: Problem Statementmentioning

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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“…Another interesting approach to improve the performance of PSM is to consider the state of remaining energy of an MS (Kim et al, , 2008c(Kim et al, , 2009). The key idea behind this approach is that the reduction of energy consumption is more preferable under insufficient remaining energy while the reduction of the response delay is more important than energy saving under sufficient remaining energy.…”

Section: Advanced Sleep-mode Operation For Performance Enhancementmentioning

confidence: 99%

“…An MS appropriately reduces its own energy consumption in tandem with the reduction of its remaining energy state, although sacrificing the response delay for intensive energy conservation. In Kim et al (2009), PSM manages the current state of remaining energy and the final sleep window in the previous sleep-mode. Depending on the current state of remaining energy, the possible smallest size of the minimum sleep window and the possible largest size of the maximum sleep window are updated.…”

Section: Advanced Sleep-mode Operation For Performance Enhancementmentioning

confidence: 99%

Power-saving mechanisms for energy efficient IEEE 802.16e/m

Choi

Kim²,

Jeong

et al. 2012

Journal of Network and Computer Applications

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Enhanced power-saving mechanism to maximize operational efficiency in IEEE 802.16e systems

Cited by 22 publications

References 13 publications

Design and implementation of TDPC sleep scheduling algorithm for energy efficient networks

Design and implementation of TDPC sleep scheduling algorithm for energy efficient networks

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

Power-saving mechanisms for energy efficient IEEE 802.16e/m

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