Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling

Pantazis, Nikolaos A.; Vergados, Dimitrios J.; Vergados, Dimitrios D.; Douligeris, Christos

doi:10.1016/j.adhoc.2008.03.006

Cited by 113 publications

(64 citation statements)

References 14 publications

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“…The most significant improvement is provided in particular regarding to the first factor, which involves an idle listening time. It is observed that the power consumption during idle listening time is comparable to the consumption during transmission and reception (Stine and Veciana, 2002;Pantazis et al, 2009) and therefore is clear the importance of its decrease.…”

Section: Introductionmentioning

confidence: 66%

Applying a Hybrid Polling Approach by Software Implementation to Extend the Lifetime of a Wireless Sensor Network

Yano¹,

Oliveira²,

Becker³

et al. 2015

Journal of Computer Science

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Wireless Sensor Networks are networks suitable for data collection in harsh environments, where it would be difficult or costly the deployment of wired infrastructure. In spite of these advantages, such networks often rely on batteries to operate, which may lead to a serious limitation on the networks lifetime. Bearing this in mind, in this article is proposed and tested a hybrid polling approach that reduces the number of frames transmitted by the router node. Thus, the router node lifetime can be extended significantly and hence the network lifetime. The proposed technique becomes progressively more advantageous, when compared to classical polling technique, as the number of network nodes increases. The experimental results obtained using a network with four nodes indicate a network lifetime increase of about 32.14%. Importantly, the sensor network lifetime extension increases the economic viability of the technology and thus makes it more accessible to potential users.

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Section: Introductionmentioning

confidence: 66%

Applying a Hybrid Polling Approach by Software Implementation to Extend the Lifetime of a Wireless Sensor Network

Yano¹,

Oliveira²,

Becker³

et al. 2015

Journal of Computer Science

View full text Add to dashboard Cite

show abstract

“…Since it is implemented on the MAC layer and integrated with the routing layer, it does not lead to network overhead. Pantazis et al (2009) proposed a TDMA-based scheduling, that balances energy saving and end-to-end delay. Energy saving is achieved by a proper wake-up interval scheduling mechanism and the data packet transmission will be delayed from the sensor nodes to the gateway only by an one sleep interval.…”

Section: Idle Listeningmentioning

confidence: 99%

Sleeping Cluster based Medium Access Control Layer Routing Protocol for Wireless Sensor Networks

T.¹

2012

Journal of Computer Science

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Abstract:Wireless sensor networks play a vital role in remote area applications, where human intervention is not possible. In a Wireless Sensor Network (WSN) each and every node is strictly an energy as well as bandwidth constrained one. Problem Statement: In a standard WSN, most of the routing techniques, move data from multiple sources to a single fixed base station. Because of the greater number of computational tasks, the existing routing protocol did not address the energy efficient problem properly. In order to overcome the problem of energy consumption due to more number of computational tasks, a new method is developed. Approach: The proposed algorithm divides the sensing field into three active clusters and one sleeping cluster. The cluster head selection is based on the distance between the base station and the normal nodes. The Time Division Multiple Access (TDMA) mechanism is used to make the cluster remain in the active state as well as the sleeping state. In an active cluster 50% of nodes will be made active and the remaining 50% be in sleep state. A sleeping cluster will be made active after a period of time and periodically changes its functionality. Results: Due to this periodic change of state, energy consumption is minimized. The performance of the Low Energy Adaptive and Clustering Hierarchy (LEACH) algorithm is also analyzed, using a network simulator NS2 based on the number of Cluster Heads (CH), energy consumption, Lifetime and the number of nodes alive. The simulation studies were carried out using a network simulation tool NS2, for the proposed method and this is compared with the performance of the existing protocol. The superiority of the proposed method is highlighted.

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“…Since each node generates a data packet in every data gathering period, the total number of data packets transmitted by the nodes in C 1 in a data gathering period is ρπL 2 . Therefore, each node can achieve enough slots to transmit its data only when m ≥ ρπL 2 (1)…”

Section: Computation Of Mmentioning

confidence: 99%

“…Due to its collision-free and energy efficient properties, time division multiple access (TDMA) has been widely adopted in WSNs [1]. An earlier approach [2] proposed a TDMA-based scheduling scheme that balances the energy-saving and end-to-end delay in a centralized approach. In [2], the gateway gathers the connectivity information from sensor nodes to construct a TDMA frame that ensures collision avoidance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Distributed TDMA-Based Data Gathering Scheme for Wireless Sensor Networks

Liu

Chen

2013

IEICE Trans. Inf. & Syst.

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SUMMARYIn this letter, a distributed TDMA-based data gathering scheme for wireless sensor networks, called DTDGS, is proposed in order to avoid transmission collisions, achieve high levels of power conservation and improve network lifetime. Our study is based on corona-based network division and a distributed TDMA-based scheduling mechanism. Different from a centralized algorithm, DTDGS does not need a centralized gateway to assign the transmission time slots and compute the route for each node. In DTDGS, each node selects its transmission slots and next-hop forwarding node according to the information gathered from neighbor nodes. It aims at avoiding transmission collisions and balancing energy consumption among nodes in the same corona. Compared with previous data gathering schemes, DTDGS is highly scalable and energy efficient. Simulation results show high the energy efficiency of DTDGS.

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Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling

Cited by 113 publications

References 14 publications

Applying a Hybrid Polling Approach by Software Implementation to Extend the Lifetime of a Wireless Sensor Network

Applying a Hybrid Polling Approach by Software Implementation to Extend the Lifetime of a Wireless Sensor Network

Sleeping Cluster based Medium Access Control Layer Routing Protocol for Wireless Sensor Networks

A Distributed TDMA-Based Data Gathering Scheme for Wireless Sensor Networks

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