A Novel IEEE 802.15.4e DSME MAC for Wireless Sensor Networks

Sahoo, Prasan Kumar; Pattanaik, Sudhir Ranjan; Wu, Shih‐Lin

doi:10.3390/s17010168

Cited by 31 publications

(31 citation statements)

References 31 publications

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“…In [23] the authors propose a novel DSME access scheme that divides the network nodes in multiple subsets, each one associated with a CAP slot in the beacon interval. During each CAP slot, only the nodes in the related subset perform channel contention.…”

Section: Related Workmentioning

confidence: 99%

“…Differently from D-DSME, the solutions proposed in [13,[23][24][25][26][27][28] do not address any sharing mechanism to improve the GTSs use, i.e., the ratio between the number of GTSs actually used and the number of the assigned ones, when the flow period is larger than the multi-superframe one. Moreover, they do not support unconfirmed retransmission of multiple replicas of the same message in order to improve reliability.…”

Section: Related Workmentioning

confidence: 99%

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Novel Extensions to Enhance Scalability and Reliability of the IEEE 802.15.4-DSME Protocol

et al. 2020

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The Deterministic and Synchronous Multichannel Extension (DSME) of the IEEE 802.15.4 standard was designed to fulfill the requirements of commercial and industrial applications. DSME overcomes the IEEE 802.15.4 limitation on the maximum number of Guaranteed Time Slots (GTS) in a superframe and it also exploits channel diversity to increase the communication reliability. However, DSME suffers from scalability problems, as its multi-superframe structure does not efficiently handle GTS in networks with a high number of nodes and periodic flows. This paper proposes the enhanceD DSME (D-DSME), which consists of two extensions that improve the DSME scalability and reliability exploiting a GTS within the multi-superframe to accommodate multiple flows or multiple retransmissions of the same flow. The paper describes the proposed extensions and the performance results of both OMNeT simulations and experiments with real devices implementing the D-DSME.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Novel Extensions to Enhance Scalability and Reliability of the IEEE 802.15.4-DSME Protocol

et al. 2020

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“…Also, the data transmission is carried out in allocated GTSs and hence provides bounded latency. 40,41 In WSSN, nodes can transmit over a short range of 10 to 100 m. Thus, popularly used communication channel model for WSSN is free space propagation or multipath fading channel models. 10,11 The radio communication model considered in this work is shown in Figure 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

Rajput

Kumaravelu

2019

Int J Communication

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Wireless smart sensor networks (WSSNs) are emerging as the physical backbone of the internet of things (IoT) technology. On the basis of the IoT platform, web-based systems and services are been developing such as esurveillance, industrial-IoT, and precision agriculture. For farmland monitoring systems, WSSNs need to be scalable in terms of coverage area. Sensor nodes are energy-constrained devices, and hence, many energy-efficient clustering protocols are developed in the literature. But these methods overload the cluster leaders (CLs) with cluster computation and data communication costs. An improper CL selection may lead to the early death of such nodes and hence does not prolong the network lifetime stability. We propose a fuzzy logic (FL)-based distributed clustering protocol to enhance the energy efficiency of WSSN while maximizing the coverage area. The load of CLs is shared by originators and super-CLs (SCLs) selected in the network. The wireless link and received signal strength (RSS) are greatly affected by environmental conditions and thus cannot be considered as ideal network parameters. We use FL systems to tackle the uncertainty of such network parameters. The proposed protocol is simulated for different scalable WSSNs. The results indicate that the proposed protocol provides better lifetime stability than the recent conventional protocols. The functionalities of the protocol are proposed considering the recent wireless standards. Hence, the proposed protocol can be suitably implemented for farmland monitoring systems. KEYWORDSfarmland monitoring, fuzzy logic (FL), network lifetime stability (NLS), originator node, super-cluster leader (SCL)

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“…In addition to communication protocol, few platforms for real-time communications were proposed. Related to DSME mode, a new channel access scheme and beacon scheduling schemes were proposed by Sahoo et al [38] WirelessHART [40], extended from Highway Addressable Remote Transducer Protocol (HART) framework, has a centralized network management architecture, multichannel TDMA transmission, redundant routes, and avoidance of spatial reuse of channels for enhanced reliability and realtime performance. The important device, network manager, is responsible for controlling of scheduling and configuring the routing in the network.…”

Section: Mac and Schedulingmentioning

confidence: 99%

A Survey on Real-Time Communications in Wireless Sensor Networks

Kim

Park

Kim

et al. 2017

Wireless Communications and Mobile Computing

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Generally, various traffic requirements in wireless sensor network are mostly dependent on specific application types, that is, eventdriven, continuous, and query-driven types. In these applications, real-time delivery is one of the important research challenges. However, due to harsh networking environment around a node, many researchers usually take different approach from conventional networks. In order to discuss and analyze the advantage or disadvantage of these approaches, some comprehensive survey literatures were published; however they are either out of date or compiled for communication protocols on single layer. Based on this deficiency, in this paper, we present the up-to-date research approaches and discuss the important features related to real-time communications in wireless sensor networks. As for grouping, we categorize the approaches into hard, soft, and firm real-time model. Furthermore, in all these categories, research has been focused on MAC and scheduling and routing according to research area or objective in second level. Finally, the article also suggests potential directions for future research in the field.

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A Novel IEEE 802.15.4e DSME MAC for Wireless Sensor Networks

Cited by 31 publications

References 31 publications

Novel Extensions to Enhance Scalability and Reliability of the IEEE 802.15.4-DSME Protocol

Novel Extensions to Enhance Scalability and Reliability of the IEEE 802.15.4-DSME Protocol

Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems

A Survey on Real-Time Communications in Wireless Sensor Networks

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