What are the best practices for selecting and implementing the appropriate protocols in different wireless communication scenarios?
Selecting and implementing the appropriate protocols in various wireless communication scenarios requires a multifaceted approach, considering the unique characteristics and requirements of each scenario. For traditional and hybrid networks, evaluating protocols like RIPv2, OSPF, and EIGRP in terms of throughput, jitter, packet length, and packet loss is crucial, with EIGRP often showing superior performance in diverse network sizes. In mobile ad-hoc networks, the choice between reactive and proactive routing protocols hinges on the trade-off between packet delivery ratio and end-to-end delay, with reactive protocols generally offering better packet delivery ratios. For Wireless Body Area Networks (WBANs), the protocol selection must account for the mobility of the human body and the quality of link variations due to posture changes, emphasizing multi-hop communication and energy-efficient strategies to ensure reliable and low-energy consumption communication. Industrial applications within the Industry 4.0 framework, which require low latency, reliability, and determinism, may benefit from protocols like STDMA and RA-TDMA, especially in scenarios demanding mobility and scalability. The integration of simulators with genetic algorithms can facilitate the identification of optimal protocol and parameter sets for specific applications or conditions, particularly in complex wireless networks. Localized routing and broadcasting frameworks can enhance protocol design for wireless networks by focusing on cost-effective decision-making and minimizing distance counts. Frequency-hopping (FH)-based protocols can be tailored for combo-endpoint devices and wireless routers to avoid communication conflicts and ensure efficient data transmission. In heterogeneous networks, addressing congestion and optimizing data flow necessitates a strategic selection of routing protocols, possibly incorporating weight random early detection (WRED) strategies for improved performance. Understanding the main usage, frequency band, modulation, and transfer speed of existing wireless network standards assists in selecting the most fitting protocol for specific applications. Finally, a methodology that classifies wireless networks based on operational parameters and incorporates suitable security protocols can significantly enhance the efficiency and security of wireless communications.
Answers from top 7 papers
Papers (7) | Insight |
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Patent 07 Dec 2017 7 Citations | The method suggests monitoring communication patterns, storing data, and configuring FH-based protocols with defined connection periods and frequencies to avoid conflicts in wireless communications. |
03 Jul 2013 | Localized routing algorithms based on cost measures and progress towards the destination are crucial for efficient protocol selection in wireless networks, considering power and bandwidth limitations. |
21 Jul 2010 1 Citations | Automated selection using Genetic algorithm aids in choosing optimal protocols for wireless networks, addressing diverse scenarios efficiently, as discussed in the paper. |
01 Apr 2020 2 Citations | Select protocols like STDMA or RA-TDMA based on trade-offs between latency, reliability, and mobility in industrial wireless scenarios for optimal performance in communication systems. |
1 Citations | Selecting EIGRP as a routing protocol is recommended for various network sizes due to its high throughput, low packet loss, and standard packet length, enhancing wireless communication scenarios. |
Select reactive protocols for high-speed mobility scenarios due to better packet delivery ratio, while proactive protocols offer lower end-to-end delay and hops count in mobile ad-hoc networks. | |
Open access•Dissertation 07 Dec 2018 2 Citations | Selecting protocols in Wireless Body Area Networks (WBAN) involves considering mobility, energy efficiency, and multi-hop communication. Implementing CLBP protocol optimizes reliability, energy consumption, and network coverage in dynamic scenarios. |