Combined contention and TDMA-based communication in wireless sensor networks

Casares‐Giner, Vicente; Wüchner, Patrick; Pacheco-Paramo, Diego; Meer, Hermann de

doi:10.1109/ngi.2012.6252158

Cited by 5 publications

(9 citation statements)

References 17 publications

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“…The CH, in addition to be one more member of the group, acts as the central manager of the communications and can provide an estimation of the permission probability r to all members of the cluster. For inter-cluster communications, not treated in this work, CHs conform a mesh network and communicate between them following a multi-hop routing protocol where a TDMA like protocol becomes quite suitable or appropriated [12], [13]. …”

Section: Results and Applicabilitymentioning

confidence: 99%

Framed ALOHA Protocol with FIFO-Blocking and LIFO-Push out Discipline.

Casares‐Giner

Sempere-Payá

Todolí-Ferrandis³

2014

NPA

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This paper considers the framed ALOHA protocol for a finite number of terminals. Terminals are single-buffered, i.e. each one can store only one data packet. We derive the throughput and the delay under two types of queue disciplines, first-in-first-out (FIFO) and last-in-first-out (LIFO). It is assumed that terminals are independent each other and generate packets of constant size according to a Bernoulli process. The one slot duration equals to the one packet transmission. The analysis is carried out by means of Markovian tools. Some discussion on the applicability of that protocol is addressed.

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Section: Results and Applicabilitymentioning

confidence: 99%

Framed ALOHA Protocol with FIFO-Blocking and LIFO-Push out Discipline.

Casares‐Giner

Sempere-Payá

Todolí-Ferrandis³

2014

NPA

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“…Here we adopt the inter-cell routing protocol between CHs presented in [24]. CHs at ring r p deliver the information to the nearest CH(s) at ring r p − 1.…”

Section: Inter-cell Routing and Load Balancingmentioning

confidence: 99%

“…In addition, the exogenous load received at CH 1, 2 h , also e 2 , is equal to Figure 4 shows the case of CHs located in the set A 1 ∪ S 1 ∪ A 2 for rings 2 ≤ r p ≤ 5. The generalization to arbitrary rings and sectors can be found in Table II of [24].…”

Section: Inter-cell Routing and Load Balancingmentioning

confidence: 99%

End to End Delay and Energy Consumption in a Two Tier Cluster Hierarchical Wireless Sensor Networks

et al. 2019

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In this work it is considered a circular Wireless Sensor Networks (WSN) in a planar structure with uniform distribution of the sensors and with a two-level hierarchical topology. At the lower level, a cluster configuration is adopted in which the sensed information is transferred from sensor nodes to a cluster head (CH) using a random access protocol (RAP). At CH level, CHs transfer information, hop-by-hop, ring-by-ring, towards to the sink located at the center of the sensed area using TDMA as MAC protocol. A Markovian model to evaluate the end-to-end (E2E) transfer delay is formulated. In addition to other results such as the well know energy hole problem, the model reveals that for a given radial distance between the CH and the sink, the transfer delay depends on the angular orientation between them. For instance, when two rings of CHs are deployed in the WSN area, the E2E delay of data packets generated at ring 2 and at the “west” side of the sink, is 20% higher than the corresponding E2E delay of data packets generated at ring 2 and at the “east” side of the sink. This asymmetry can be alleviated by rotating from time to time the allocation of temporary slots to CHs in the TDMA communication. Also, the energy consumption is evaluated and the numerical results show that for a WSN with a small coverage area, say a radio of 100 m, the energy saving is more significant when a small number of rings are deployed, perhaps none (a single cluster in which the sink acts as a CH). Conversely, topologies with a large number of rings, say 4 or 5, offer a better energy performance when the service WSN covers a large area, say radial distances greater than 400 m.

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“…Other works related to energy-efficiency in sensor networks are presented in [8], [9] and the references therein. In [9], a discrete-time Markov model is used that allows to study the trade-off between energy consumption and transfer delay in clustered WSNs.…”

Section: Introductionmentioning

confidence: 99%

“…In [9], a discrete-time Markov model is used that allows to study the trade-off between energy consumption and transfer delay in clustered WSNs. Queue aware threshold control policies for the scenarios with infinite and finite buffer have been proposed in [10].…”

Section: Introductionmentioning

confidence: 99%