Improvement strategy of S-MAC protocol for wireless sensors in IoT based on data and energy priorities

Zheng, Xiaoyue

doi:10.1080/21642583.2019.1608474

Cited by 4 publications

(3 citation statements)

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“…This routing model is constrained by packet loss, bandwidth, and packet transmission delay. These metrics are considered for optimal path selection between nodes to CH and from CH to Sink [38]. Further, the CH is selected by imposing a threshold on the advanced nodes for implementation of the routing model [39].…”

Section: Routing Modelmentioning

confidence: 99%

Mobility Induced Multi-Hop LEACH Protocol in Heterogeneous Mobile Network

et al. 2022

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Heterogeneous mobile networks are a vital cue for Internet of Things (IoT) networks and their applications. Therefore, an optimal routing protocol is essential for the heterogeneous network to realize energy efficiency and robustness. However, designing an optimal routing protocol is more complex due to uneven energy depletion and dynamic event generation. The complexity further increases with the node mobility. In this context, the multi-hop routing approach with a controlled mobility pattern provides an energy efficient network by improving memory and storage utilization. This work proposes a new energy-efficient model for heterogeneous network, considering the effect of mobility and residual energy of nodes for cluster head selection in multi-hop-LEACH (M-LEACH). The performance of the proposed mobility induced multihop LEACH (Mob M-LEACH) protocol is further compared with existing baseline methods. The robustness of the network is evaluated considering static and dynamic environments for multiple network technologies. The simulation results show that the proposed method reduces network latency by 25% and enhances the throughput by 75%, improving energy consumption and network lifetime when compared with the state-ofart methods. INDEX TERMSEnergy Consumption, Heterogeneous Mobile network, Internet of Things, M-LEACH, Network Convergence Indicator, access in IoT. Further, challenges for implementing IoT applications involve node density, hardware requirements, mode of communication, power utilization, and computational cost [2].

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Section: Routing Modelmentioning

confidence: 99%

Mobility Induced Multi-Hop LEACH Protocol in Heterogeneous Mobile Network

et al. 2022

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“…This same prioritization approach applies to other WSN deployments such as home, agriculture, logistics, and industry where data prioritization plays a major role. For timely and efficient processing of data with varying priorities, it becomes imperative to provide a data prioritization scheme by improving upon the IEEE 802.15.4 data handing mechanism to deal with data of varying priorities [18,23]. Without prioritization, traffic with low data priority such as non-real-time data may dominate and congest the shared transmission medium with high bandwidth utilization, thereby hindering traffic with high data priority such as real-time data that may be carrying time-constrained mission-critical information.…”

Section: Motivation and Related Workmentioning

confidence: 99%

“…The duration of a unit time-slot is equivalent to 0.96ms [17]. The first slot (slot 0) is used by the PAN Coordinator to broadcast the beacon frame [18], while the remaining 15 slots are used by the nodes to contend for channel access. The Beacon Interval (BI) indicates the interval between two successive beacon frames, while the length of the active period is indicated by the Superframe Duration (SD).…”

Section: Introductionmentioning

confidence: 99%

Optimized backoff scheme for prioritized data in wireless sensor networks: A class of service approach

et al. 2020

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Data prioritization of heterogeneous data in wireless sensor networks gives meaning to mission-critical data that are time-sensitive as this may be a matter of life and death. However, the standard IEEE 802.15.4 does not consider the prioritization of data. Prioritization schemes proffered in the literature have not adequately addressed this issue as proposed schemes either uses a single or complex backoff algorithm to estimate backoff time-slots for prioritized data. Subsequently, the carrier sense multiple access with collision avoidance scheme exhibits an exponentially increasing range of backoff times. These approaches are not only inefficient but result in high latency and increased power consumption. In this article, the concept of class of service (CS) was adopted to prioritize heterogeneous data (realtime and non-real-time), resulting in an optimized prioritized backoff MAC scheme called Class of Service Traffic Priority-based Medium Access Control (CSTP-MAC). This scheme classifies data into high priority data (HPD) and low priority data (LPD) by computing backoff times with expressions peculiar to the data priority class. The improved scheme grants nodes the opportunity to access the shared medium in a timely and power-efficient manner. Benchmarked against contemporary schemes, CSTP-MAC attained a 99% packet delivery ratio with improved power saving capability, which translates to a longer operational lifetime.

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