Performance evaluation of co-located IEEE 802.15.4-based wireless body sensor networks

Moravejosharieh, Amirhossein; Lloret, Jaime

doi:10.1007/s12243-016-0497-8

Cited by 12 publications

(9 citation statements)

References 23 publications

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“…The IEEE 802.15.4 MAC layer has two operation modes: beacon and beaconless modes [3,29,30]. In this paper, we focus on the beaconless mode, which is more suitable for multihop communications.…”

Section: Ieee 802154 Mac and Physical Layersmentioning

confidence: 99%

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Improving Route Selections in ZigBee Wireless Sensor Networks

Meka

Fonseca

2019

Sensors

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The ZigBee wireless communication specifications forecast the use of multihop routes between nodes and define that nodes select their routes based on their costs. The specifications define how to compute a route cost from the probability of successfully transmitting on each of the routes’ links; and it is recommended that such probabilities be obtained by counting received link status messages or averaging link quality indicators from received packets. In this paper, we study the performance of these two recommended procedures, show that they can lead to degraded route selections, and propose a procedure that can improve route selections without modifications to the ZigBee protocol or frame formats. Our procedure estimates the probability of successful transmission on each link, based on information from the medium access layer during unicast packet transmissions, and includes a modification into how ZigBee nodes treat routing messages internally in order to reduce variations in the link cost estimates. Focusing on a home environment with one or two hops, our simulation results show that, in several scenarios, our procedure performs better than either of the two procedures recommended in the ZigBee specifications.

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Section: Ieee 802154 Mac and Physical Layersmentioning

confidence: 99%

“…In this study, we considered the default parameters of the ZigBee network layer and the IEEE 802.15.4 MAC and physical layers. Given that the performance of these systems can vary with such parameters [29,30], it would be interesting to study whether the results reported here could be improved by optimizing such parameters.…”

mentioning

confidence: 99%

Improving Route Selections in ZigBee Wireless Sensor Networks

Meka

Fonseca

2019

Sensors

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“…All the nodes successively join the network in the order of their identifier. Hence, when node i ∈ [2,40] joins the network, all the nodes with an identifier strictly less than i advertise their beacon.…”

Section: Comparative Performance Evaluationmentioning

confidence: 99%

“…Wireless Sensor Networks (WSNs) [1] pave the way to a wide range of applications belonging to as various domains as environment monitoring, factory automation, process control, precision agriculture, e-health [2], smart city, vehicular communication, etc. The most frequent technologies used by the currently deployed WSNs are based on the IEEE 802.15.4 standard [3].…”

Section: Introductionmentioning

confidence: 99%

An enhanced deterministic beacon advertising algorithm for building TSCH networks

Khoufi

Minet

2018

Ann. Telecommun.

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In this paper, we focus first on the time needed by a node to join a Time Slotted Channel Hopping (TSCH) network, this time is called joining time. Second, we are also interested in the network building time. Since the data generated by a sensor node remain unavailable as long as this node has not yet joined the wireless sensor network, these times are of prime importance for applications having strong latency requirements on data gathering. The joining time depends on the beacon advertising policy that has been left unspecified by the standard. The contribution of this paper is triple. First, we propose an Enhanced Deterministic Beacon Advertising algorithm, called EDBA, that ensures a collision-free advertising of beacons and minimizes the average joining time. Second, we model the behavior of a joining node by a Markov chain, validated by NS3 simulations, and compute the average joining time. Third, we compare the performance of EDBA with this of MBS, considered as the best beacon advertising algorithm in the literature.

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“…In the IEEE 802.15.4 standard, the aontention access period (CAP) uses CSMA/CA and contention free period (CFP) uses guaranteed time slot (GTS) allocation based on TDMA [9]. There are some shortcomings in the case of life-critical WBAN applications with equal time slots.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Based Dynamic Time Slot Allocation for Wireless Body Area Networks

Pushpan

Bhanumathi

2019

Sensors

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With the advancement in networking, information and communication technologies, wireless body area networks (WBANs) are becoming more popular in the field of medical and non-medical applications. Real-time patient monitoring applications generate periodic data in a short time period. In the case of life-critical applications, the data may be bursty. Hence the system needs a reliable energy efficient communication technique which has a limited delay. In such cases the fixed time slot assignment in medium access control standards results in low system performance. This paper deals with a dynamic time slot allocation scheme in a fog-assisted network for a real-time remote patient monitoring system. Fog computing is an extended version of the cloud computing paradigm, which is suitable for reliable, delay-sensitive life-critical applications. In addition, to enhance the performance of the network, an energy-efficient minimum cost parent selection algorithm has been proposed for routing data packets. The dynamic time slot allocation uses fuzzy logic with input variables as energy ratio, buffer ratio, and packet arrival rate. Dynamic slot allocation eliminates the time slot wastage, excess delay in the network and attributes a high level of reliability to the network with maximum channel utilization. The efficacy of the proposed scheme is proved in terms of packet delivery ratio, average end to end delay, and average energy consumption when compared with the conventional IEEE 802.15.4 standard and the tele-medicine protocol.

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Performance evaluation of co-located IEEE 802.15.4-based wireless body sensor networks

Cited by 12 publications

References 23 publications

Improving Route Selections in ZigBee Wireless Sensor Networks

Improving Route Selections in ZigBee Wireless Sensor Networks

An enhanced deterministic beacon advertising algorithm for building TSCH networks

Fuzzy-Based Dynamic Time Slot Allocation for Wireless Body Area Networks

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