{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854334","patent":{"patent_number":"US-9854334","title":"Method and device for managing transmissions of measurements periodically carried out by a sensor","assignee":null,"inventors":[],"filing_date":"2010-12-20T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04Q","H04L","H04L","H04Q","H04Q"],"num_claims":15,"abstract":"A method and device are provided for managing transmissions of a plurality of sets of measurements performed periodically by a measurement sensor capable of communicating with a collection device via a radio network. The method determines, according to a random distribution law, a date of transmission for each set of measurements of the plurality and transmits a message relating to at least one set of measurements, on one of the dates of transmission determined for the plurality."},"analysis":{"summary":"The Method and Device for Managing Transmissions of Measurements Periodically Carried Out by a Sensor patent introduces an innovative approach to address the challenges of data congestion and network inefficiency in sensor networks. The core innovation lies in utilizing a random distribution law to determine the transmission dates for each set of measurements performed by a sensor. This staggering of transmissions minimizes the likelihood of data collisions and optimizes network throughput.\n\nThe problem being solved is the inherent inefficiency in traditional sensor networks, where simultaneous data transmissions from multiple sensors often lead to congestion and data loss. This patent tackles this issue by ensuring a more even distribution of data traffic over time, leading to improved network performance and reduced energy consumption.\n\nThe key technical approach involves a measurement sensor communicating with a collection device via a radio network. The sensor periodically performs measurements and then, according to the random distribution law, determines a date of transmission for each set of measurements. This ensures that transmissions are spread out over time, minimizing congestion and maximizing network throughput.\n\nThe business value and applications of this technology are significant. It can be applied in a wide range of industries, including environmental monitoring, industrial automation, smart agriculture, and smart cities. By improving the reliability and efficiency of sensor networks, this technology can lead to better decision-making, reduced costs, and increased productivity. The market opportunity for this technology is substantial, as sensor networks continue to proliferate across various sectors.\n\nThis patent offers a compelling solution to the challenges of data management in sensor networks, providing a more efficient, reliable, and scalable approach to data acquisition. Its adaptability and potential for cost savings make it a valuable asset for organizations looking to leverage the power of sensor data.","layman_explanation":"The Method and Device for Managing Transmissions of Measurements Periodically Carried Out by a Sensor patent addresses a common problem in modern sensor networks: data congestion. These networks, used in everything from smart homes to industrial plants, rely on numerous sensors to collect and transmit data. However, when many sensors try to send information simultaneously, the network can become overwhelmed, leading to delays, lost data, and reduced efficiency.\n\n**What Problem Does This Solve?**\nThe core issue is that traditional sensor networks often lack a coordinated approach to data transmission. Sensors typically operate independently, sending data whenever they have information to report. This can result in a surge of traffic at certain times, exceeding the network's capacity and causing bottlenecks. Existing solutions, such as simply increasing bandwidth, can be costly and may not fully address the underlying problem of uncoordinated transmissions.\n\n**How Does It Work?**\nThis patent offers a more intelligent solution by introducing a method for managing the timing of data transmissions. Instead of allowing sensors to transmit data whenever they want, the system uses a random distribution law to determine a specific transmission date for each sensor's data. Think of it like a traffic light system for data. By staggering the transmission times, the system ensures that the network is not overloaded at any given moment. This is achieved without requiring complex coordination between sensors; each sensor independently determines its transmission time based on the random distribution law. \n\n**Why Does This Matter?**\nThe impact of this technology is significant. By reducing data congestion, the system improves the reliability and efficiency of sensor networks. This leads to more accurate and timely data collection, enabling better decision-making in various applications. For example, in a smart agriculture setting, this technology can ensure that data from soil sensors is transmitted reliably, allowing farmers to optimize irrigation and fertilization. The competitive advantages are clear: more efficient networks, reduced data loss, and lower operating costs. This translates to a higher return on investment for businesses deploying sensor networks.\n\n**What's Next?**\nFuture applications of this technology could include integration with artificial intelligence to further optimize data transmission based on real-time network conditions. The market adoption timeline is likely to be rapid, as businesses increasingly recognize the need for efficient data management in sensor networks. This innovation has significant investment implications, as it represents a valuable asset for companies operating in the IoT and sensor technology sectors.","technical_analysis":"The Method and Device for Managing Transmissions of Measurements Periodically Carried Out by a Sensor patent details a system designed to optimize data transmission in environments utilizing multiple sensors. At its core, the technology leverages a random distribution law to mitigate data collisions and improve overall network efficiency. This is achieved by staggering the transmission times of individual sensors, preventing simultaneous data bursts that can overwhelm the network.\n\nThe technical architecture involves individual measurement sensors equipped with radio communication capabilities. These sensors periodically perform measurements and then employ a random distribution algorithm to determine the optimal time to transmit their data. The algorithm can be implemented using various statistical methods, such as a uniform distribution or a Gaussian distribution, depending on the specific requirements of the sensor network. The selected transmission time is then used to schedule the data transmission to a central collection device.\n\nThe implementation details of this technology are crucial to its effectiveness. The random distribution algorithm must be carefully calibrated to ensure that transmissions are evenly distributed over time. This requires taking into account factors such as the number of sensors in the network, the frequency of measurements, and the available bandwidth. The integration patterns for this technology are relatively straightforward. The system can be easily integrated into existing sensor networks with minimal disruption. The sensors simply need to be programmed to implement the random distribution algorithm and schedule their transmissions accordingly.\n\nThe performance characteristics of this technology are impressive. By minimizing data collisions, the system significantly improves network throughput and reduces data loss. This leads to more reliable data acquisition and better overall system performance. The code-level implications of this technology are minimal. The random distribution algorithm can be implemented using standard programming languages and libraries. The sensors simply need to be programmed to execute the algorithm and schedule their transmissions accordingly.\n\nThis patent offers a valuable contribution to the field of sensor network technology, providing a practical and effective solution to the challenges of data management and network efficiency. Its scalability and ease of implementation make it a valuable asset for organizations looking to leverage the power of sensor data.","business_analysis":"The Method and Device for Managing Transmissions of Measurements Periodically Carried Out by a Sensor patent presents a significant business opportunity within the rapidly expanding market for sensor network technologies. The core value proposition lies in its ability to optimize data transmission, reducing congestion and improving overall network efficiency. This translates to tangible benefits for businesses across a range of industries.\n\nThe market opportunity size is substantial. Sensor networks are increasingly being deployed in various sectors, including environmental monitoring, industrial automation, smart agriculture, and smart cities. As the number of sensors in these networks grows, so does the need for efficient data management solutions. This patent addresses this need directly, providing a scalable and cost-effective way to optimize data transmission.\n\nThe competitive advantages of this technology are clear. By using a random distribution law to stagger sensor transmissions, the system minimizes data collisions and improves network throughput. This leads to more reliable data acquisition and better overall system performance. The revenue potential for this technology is significant. It can be monetized through various business models, including licensing, subscription services, and hardware sales. The strategic positioning of this technology is also favorable. It addresses a critical need in the sensor network market and offers a compelling value proposition for businesses across a range of industries.\n\nThe ROI projections for this technology are attractive. By reducing data loss and improving network efficiency, the system can lead to significant cost savings for businesses. This makes it a valuable investment for organizations looking to optimize their sensor network operations.\n\nThis patent represents a compelling business opportunity within the sensor network market. Its ability to optimize data transmission, reduce congestion, and improve overall network efficiency translates to tangible benefits for businesses across a range of industries. The market opportunity size is substantial, the competitive advantages are clear, and the ROI projections are attractive. This makes it a valuable asset for investors and entrepreneurs looking to capitalize on the growth of the sensor network market.","faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method and device for managing transmissions of measurements periodically carried out by a sensor","description":"A method and device are provided for managing transmissions of a plurality of sets of measurements performed periodically by a measurement sensor capable of communicating with a collection device via ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854334","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854334","citation_suggestion":"Patentable. \"Method and device for managing transmissions of measurements periodically carried out by a sensor\" (US-9854334). https://patentable.app/patents/US-9854334","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854334","json":"https://patentable.app/api/llm-context/US-9854334","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:24:24.911Z"}