A greener MAC layer protocol for smart home wireless sensor networks

Latif, Sajjadul; Fernando, Xavier; Fung, Alan S.; Janabi–Sharifi, Farrokh

doi:10.1109/onlinegreencom.2013.6731047

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Wirelessly connected sensing and controlling nodes give lots of flexibility and ease of manageability. These wireless sensors also need typically 150 mW -600 mW energy in a multi-hop network, depending on the number of nodes and the distance among them [7]. Since the NZe smart buildings are supposed to minimize the energy consumption in all possible ways, power reduction in the wireless sensor network (WSN) is also very important.…”

Section: Wireless Sensor Networkmentioning

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: Wireless Sensor Networkmentioning

confidence: 99%

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

Latif¹

2021

Preprint

Self Cite

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“…References [3,[27][28][29][30] have studied the energy consumption problem of the coal mine, but all of them did not consider the big data technology and only use single-sink structure. Some novel algorithm is proposed in [31,32]: in [31] a model for underground mines is generated by adopting a performancebased approach; in [32] a green MAC algorithm is proposed for smart home sensor networks. These strategies effectively extend the network lifetime and improve network performance.…”

Section: Related Studiesmentioning

confidence: 99%

Research on Monitoring and Prewarning System of Accident in the Coal Mine Based on Big Data

Chen

Wei

2018

Scientific Programming

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More and more big data come from sensor nodes. There are many sensor nodes placed in the monitoring and prewarning system of the coal mine in China for the purpose of monitoring the state of the environment. It works every day and forms the coal mine big data. Traditional coal mine monitoring and prewarning systems are mainly based on mine communication cable, but they are difficult to place at coal working face tunnels. We use WSN to replace mine communication cable and build the monitoring and prewarning system. The sensor nodes in WSN are energy limited and the sensor data are complicated so it is very difficult to use these data directly to prewarn the accident. To solve these problems, in this paper, a new data aggregation strategy and fuzzy comprehensive assessment model are proposed. Simulations compared the energy consumption, delay time, cooperation cost, and prewarning time with our previous work. The result shows our method is reasonable.

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“…Other partition strategies, including energy balance and cluster head selection according to the tunnel characteristics of the coalmine, were introduced in [25,26,27]. Some novel algorithm is proposed in [28,29]: in [28] a model for underground mines is generated by adopting a performance-based approach, while, in [29] a green MAC algorithm is proposed for smart home sensor networks. These strategies effectively extend the network lifetime and improve network performance.…”

Section: Related Studiesmentioning

confidence: 99%

A Routing Protocol for Multisink Wireless Sensor Networks in Underground Coalmine Tunnels

Chen

Liu

et al. 2016

Sensors

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Traditional underground coalmine monitoring systems are mainly based on the use of wired transmission. However, when cables are damaged during an accident, it is difficult to obtain relevant data on environmental parameters and the emergency situation underground. To address this problem, the use of wireless sensor networks (WSNs) has been proposed. However, the shape of coalmine tunnels is not conducive to the deployment of WSNs as they are long and narrow. Therefore, issues with the network arise, such as extremely large energy consumption, very weak connectivity, long time delays, and a short lifetime. To solve these problems, in this study, a new routing protocol algorithm for multisink WSNs based on transmission power control is proposed. First, a transmission power control algorithm is used to negotiate the optimal communication radius and transmission power of each sink. Second, the non-uniform clustering idea is adopted to optimize the cluster head selection. Simulation results are subsequently compared to the Centroid of the Nodes in a Partition (CNP) strategy and show that the new algorithm delivers a good performance: power efficiency is increased by approximately 70%, connectivity is increased by approximately 15%, the cluster interference is diminished by approximately 50%, the network lifetime is increased by approximately 6%, and the delay is reduced with an increase in the number of sinks.

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A greener MAC layer protocol for smart home wireless sensor networks

Cited by 5 publications

References 10 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

Research on Monitoring and Prewarning System of Accident in the Coal Mine Based on Big Data

A Routing Protocol for Multisink Wireless Sensor Networks in Underground Coalmine Tunnels

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