A Transmission Scheduling for Data-Gathering Wireless Sensor Networks

Gao, Chao; Kivelä, Ilkka; Tan, Xinyu; Hakala, Ismo

doi:10.1109/uic-atc.2012.48

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Such protocols are legitimate just in a synchronized network. In this manner, the transmission booking issues [2], [40]- [42] in time synchronization on WSNs are characterized into sender and receiver as appeared in Fig. 1.…”

Section: B Importance Of Time Synchronizationmentioning

confidence: 99%

Firefly-Inspired Time Synchronization Mechanism for Self-Organizing Energy-Efficient Wireless Sensor Networks: A Survey

2019

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Perceptions of lifelike marvels are viewed as the best data source of unconstrained synchronization. Such synchronization is imperative for the best possible coordination of intensity cycles for wireless sensor network (WSN) energy conservation. Fireflies, which have a comparative structure to WSN, utilize the guideline of pulse-Coupled Oscillators (PCOs) for light blaze outflow to pull in mating accomplices. This conduct can be impersonated for the improvement of WSNs and have decentralized energy efficiency conduct. In any case, a fascinating component of WSNs is that the PCO is utilized by the firefly synchronization to pull in mating accomplices; however, it cannot be utilized in genuine sensor networks. This is because of the failure of the sensor nodes to get data packets utilized by the first PCO model because of deafness. Subsequently, energy utilization turns out to be high and a large portion of the data is lost. For most situations, the PCO model is not appropriate for sensor networks because of high packet collision since WSNs cannot bear the cost of transmission and gathering data concurrently. It likewise expands energy utilization because the battery substitution is unthinkable upon the fatigue of a node battery energy strategy. Accordingly, this paper broadly surveys and talks about the algorithms developed to address the difficulties and the systems of incorporating energy-efficient firefly inspired time synchronization over WSNs and the properties of transmission state inside the deafness and packet collision. In particular, it is an exhaustive audit incorporating instrument, points of interest and detriments of past related work inside the transmission state. The paper helps scientists to (1) keep away from deafness that happens in the transmit state in WSNs, (2) prevent packet collision for the time of transmission in WSNs, and (3) increment the data gathering all through the transmission states in WSNs. It additionally features the recommendation of a few appropriate open issues as proposals for future research.

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Section: B Importance Of Time Synchronizationmentioning

confidence: 99%

Firefly-Inspired Time Synchronization Mechanism for Self-Organizing Energy-Efficient Wireless Sensor Networks: A Survey

2019

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“…A CH can schedule activities in the cluster so that nodes can switch to the low-power sleep mode most of the time and reduce the rate of energy consumption. Sensors can be engaged in a round-robin order and the time for their transmission and reception can be determined so that the sensors reties are avoided, redundancy in coverage can be limited and medium access collision is prevented [3].…”

Section: Introductionmentioning

confidence: 99%

Unequal Clustering Formation Based on Bat Algorithm forWireless Sensor Networks

Nguyen

Shieh

Horng

et al. 2015

Advances in Intelligent Systems and Computing

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Abstract. Prolonging the lifetime of the network is an important issue in the design and deployment of wireless sensor networks (WSN). One of the crucial factors to prolong lifetime of WSNs is to reduce energy consumption. In this study, Bat algorithm (BA) is used to find out an optimal cluster formation trying to minimize the total communication distance. Taking into account the hot spot problem in multihop WSNs, the communication distance is modeled by bat's loudness parameter in our scheme. The communication distance and energy consumption of each node in the cluster can then be optimized with the bat algorithm. The experimental results show that this approach achieves 3% improvement of convergence and accuracy in comparison with Particle swarm optimization.

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The Bottleneck Problem in Large Scale IEEE 802.15.4 / ZigBee Networks

Chao

Wang

2015

IJAHUC

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In this paper, we handle the bottleneck problem of ZigBee-based networks. The bottleneck problem occurs at the nodes near the ZigBee coordinator since they have too many data to deliver during the data gathering process. This is a fundamental problem which reduces network throughput and prolongs transmission delay. A possible solution is to schedule each node's transmission/receiving time properly. Two fundamental problems we have to answer for such scheduling are when and how long a node should keep awake to transmit/receive packets. To achieve efficient scheduling, in this paper, we propose a centralized Top-Down-Maximum-Load-First (TDMLF) scheme which utilizes the contention-free Guaranteed Time Slots (GTS) defined in IEEE 802.15.4. By increasing the number of concurrent transmissions, the proposed scheme achieves high system utilization and thus alleviates the bottleneck problem. Through simulation and real system implementation, we verify that TDMLF successfully reduces the negative effects caused by the bottleneck problem.

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A Transmission Scheduling for Data-Gathering Wireless Sensor Networks

Cited by 3 publications

References 13 publications

Firefly-Inspired Time Synchronization Mechanism for Self-Organizing Energy-Efficient Wireless Sensor Networks: A Survey

Firefly-Inspired Time Synchronization Mechanism for Self-Organizing Energy-Efficient Wireless Sensor Networks: A Survey

Unequal Clustering Formation Based on Bat Algorithm forWireless Sensor Networks

The Bottleneck Problem in Large Scale IEEE 802.15.4 / ZigBee Networks

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