Energy Efficiency of the IEEE 802.15.4 Standard in Dense Wireless Microsensor Networks: Modeling and Improvement Perspectives

Bougard, Bruno; Catthoor, Francky; Daly, Denis C.; Chandrakasan, Anantha P.; Dehaene, Wim

doi:10.1007/978-1-4020-6488-3_17

Cited by 52 publications

(65 citation statements)

References 8 publications

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“…Several works in literature have dealt with the performance analysis of the IEEE 802.15.4 slotted CSMA/CA protocol [19,[24][25][26][27]. However, in order to evaluate the overall system performance, we refer to [28], where a generalized Markov model, derived from [29], is introduced to evaluate the most important network metrics (i.e., throughput, delay, energy consumption, dropping probability) in the presence of packet retransmission, by means of a per attempt bi-dimensional Markov chain.…”

Section: Preliminary Test Results and Evaluationmentioning

confidence: 99%

A distributed clustering scheme with self nomination: proposal and application to critical monitoring

et al. 2014

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Clustering is a well known methodology to optimize the use of the resources, to lower the congestion and to improve the reliability in self-organized networks as the wireless sensor networks. This paper deals with the proposal of a novel clustering approach based on a low complexity distributed cluster head election based on a two-stage process. In particular, a suitable objective function is introduced in order to take into account the number of 1-hop neighbours (i.e., node degree) and the residual node energy. It is shown in the paper that the proposed protocol achieves remarkable performance improvements with respect to different alternatives, especially in the case of unpredictable scenarios. Moreover, the proposed protocol exhibits self-organize capabilities that are of special interest for critical monitoring applications, in particular when the effect of nodes mobility is significant.

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Section: Preliminary Test Results and Evaluationmentioning

confidence: 99%

A distributed clustering scheme with self nomination: proposal and application to critical monitoring

et al. 2014

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“…Here the energy parameters consults that in [32] which is based on a typical 802.15.4 chip: chipcon CC2420. The graph indicates that both the time and the energy cost expectation has a minimum point.…”

Section: Energy Dissipationmentioning

confidence: 99%

First Passage Time Analysis in Wireless Sensor Networks for SPR and MPR Systems

Wang

2008

Wireless Pers Commun

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In this paper, we study the performance of Slotted ALOHA in an elementary process in wireless sensor networks, in which sensors are activated by rare events and transmit packets to a single sink node within single hop. The time cost of the process can be viewed as a first passage time and we give the expectation of time and energy cost which is dependent on both the size of active nodes and their transmission rate by a first passage time analysis. Meanwhile, given the size of active nodes n, we demonstrated that the optimal transmission rate λ min (n) by which the first passage time attains its minimum, is nearly √ log n/n. Our result indicates that time cost of the process in which each node transmits packet with transmission rate λ min (n) increases nearly linearly with n increasing. We present the maximum likelihood estimate (MLE) of the size of active nodes from the viewpoint of sink nodes so that activated nodes can adjust its transmission rate to improve the performance of the process. Energy dissipation and time cost of the procedure in the channel model of Multi Packet Reception (MPR) are considered also. Numerical results indicate that both time cost and energy consumption of the procedure in MPR channel is superior to that in Single Packet Reception (SPR) channel while the transmission rate near or less than the optimal values with which time costs attain their minimum. Otherwise the energy dissipation in MPR channel is more than that in SPR channel although comparison of time cost in the above two channels reveals the superiority of MPR channel.

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“…D r,avg is the average D r across all the epochs. Average energy efficiency is defined as the ratio between D r,avg and the average amount of energy consumed by a node during an epoch, which was determined based on the energy consumption levels reported in [10].…”

Section: A Simulation Setting and Performance Metricsmentioning

confidence: 99%

Adaptive Collision Avoidance through Implicit Acknowledgments in WSNs

Messina

Ortolani

2008

2008 IEEE Asia-Pacific Services Computing Conference

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The large number of nodes, typical of many sensor network deployments, and the well-known hidden terminal problem make collision avoidance an essential goal for the actual employment of WSN technology. Collision avoidance is traditionally dealt with at the MAC Layer and plenty of different solutions have been proposed, which however have encountered limited diffusion because of their incompatibility with commonly available devices.In this paper we propose an approach to collision avoidance which is designed to work over a standard MAC Layer, namely the IEEE 802.15.4 MAC, and is based on application-controlled delays of packet transmission times. The proposed scheme is simple, decentralized and scalable. We present two variants of the algorithm and we evaluate our work through simulations. Discussed results show that our scheme provides a considerable boost of performance in IEEE 802.15.4 tree-based networks, effectively addressing the hidden terminal problem and keeping radio utilization efficient.

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Energy Efficiency of the IEEE 802.15.4 Standard in Dense Wireless Microsensor Networks: Modeling and Improvement Perspectives

Cited by 52 publications

References 8 publications

A distributed clustering scheme with self nomination: proposal and application to critical monitoring

A distributed clustering scheme with self nomination: proposal and application to critical monitoring

First Passage Time Analysis in Wireless Sensor Networks for SPR and MPR Systems

Adaptive Collision Avoidance through Implicit Acknowledgments in WSNs

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