Energy-Aware Hybrid Data Aggregation Mechanism Considering the Energy Hole Problem in Asynchronous MAC-Based WSNs

Kim, Min-Gon; Han, Young-Tae; Park, Hong-Shik

doi:10.1109/lcomm.2011.092911.110792

Cited by 10 publications

(5 citation statements)

References 7 publications

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“…In such a model, the nodes that are close to the sink deplete energy faster to accommodate the heavy flow of traffic, whereas the nodes far from the network manager barely use their energy. This issue is known as the energy-hole problem [27]. In order to solve this problem, a planned node distribution scheme is used in the MAC Layer.…”

Section: Planned Distributionmentioning

confidence: 99%

Energy efficient QPP-MAC protocol with dynamic cycle length for smart building wireless sensor networks

Latif¹

2021

Preprint

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The wireless sensor network is an important element of energy efficient "Smart Buildings" to collect different types of data and to optimize the energy demand management (EDM) system. It is very important to save energy of the wireless sensor network to prolong the network life-time. In this thesis, a distributed, quasi-planned Medium Access Control (MAC) scheduling algorithm with priority control has been proposed for smart building's WSN. The protocol reduces the wasted energy of sensors during idle listening, collision, and overhearing processes. The system considers multiple classes of sensors based on their roles. The protocol establishes confirmed communication for steady traffic and gives adaptive control for varying traffic load. Hence, it reduces the total energy requirement for each sensor class. It uses a novel statistically inspired algorithm to dynamically configure the cycle length for reducing latency. Overall, the new algorithm shows better energy performance than many conventional WSN MAC protocols.

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Section: Planned Distributionmentioning

confidence: 99%

Energy efficient QPP-MAC protocol with dynamic cycle length for smart building wireless sensor networks

Latif¹

2021

Preprint

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“…Several projects have been done on MAC packet aggregation to improve throughput or to save energy. For instance, [11] makes the sensor energy residue the main factor when adjusting the length of the aggregated frame. The energy residue is measured for the purpose of triggering the data aggregation so that the sensor near the sink saves the energy and avoids energy depletion.…”

Section: Energy Considerations In Aggregationmentioning

confidence: 99%

An efficient adaptive MAC frame aggregation scheme in delay tolerant sensor networks

Zhou

Boukerche

2014

2014 IEEE Global Communications Conference

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In delay-tolerant sensor networks where connectivity is not guaranteed, sensors are seeking efficient ways to send the collected data during relatively rare transmission opportunities. Aggregation is one of the major ways to improve the data throughput while consuming less energy consumption. This paper proposes an adaptive aggregation scheme for MAC 802.11 to improve the transmission efficiency in unstable wireless delay-tolerant environments. The aggregation scheme not only considers the upper layer separation of quality of service (QoS) requirements into different queues, but also adapts the wireless channel status to the aggregation procedure. The simulation results show that the scheme improves the transmission efficiency and reduces the number of transmission times by aggregating data; thus saving sensor energy consumption.

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“…However, in spite of the efforts to avert the early energy exhaustion of the particular sensor nodes, the routing protocols will confront a limitation to look for a substitute if there is no other path; to exemplify, there is only one cluster node for data transmission from the end nodes to the sink node in clustered sensor network architecture [19]. As one of the alternative solutions for the aforementioned problems, there have been a remaining energy-aware management mechanism pertaining to data aggregation [21]. Consequently, the studies to get over the energy depletion problem in viewpoint of the MAC layer protocol are also required to enhance network sustainability.…”

Section: Need For Efficient Management Of the Remaining Energy Statesmentioning

confidence: 99%

“…Thus, it is imperative to efficiently manage the remaining energy state in the viewpoint of a single node. The legacy energy-efficient MAC protocols [9]- [18] have just focused on increase of energy efficiency but not management of the remaining energy [5], [21]. Therefore, in order to complement the inadequacy of the energy-aware routing protocols and provide a new holistic energy management perspective, this paper proposes an Energy-aware Copyright c 2013 The Institute of Electronics, Information and Communication Engineers MAC Protocol (EMP) in asynchronous MAC-based WSNs, which considers network traffic condition and controls energy consumption of sensor nodes according to the variation of the remaining energy state of operating sensor nodes.…”

Section: Introductionmentioning

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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Energy-Aware Hybrid Data Aggregation Mechanism Considering the Energy Hole Problem in Asynchronous MAC-Based WSNs

Cited by 10 publications

References 7 publications

Energy efficient QPP-MAC protocol with dynamic cycle length for smart building wireless sensor networks

Energy efficient QPP-MAC protocol with dynamic cycle length for smart building wireless sensor networks

An efficient adaptive MAC frame aggregation scheme in delay tolerant sensor networks

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

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