With the continued growth of the Internet of Things (IoT) different types of Low-Power and Lossy Networks (LLNs) have emerged. Such networks may face a number of challenges including, for example, link bottlenecks. To address these challenges techniques are presented herein that support a new method of aggregating data packets in a LLN without incurring a performance decrease. Aspects of the techniques presented herein leverage fragmenting of aggregated data packets (to avoid instances of a larger frame being dropped) and enhance the Media Access Control (MAC) layer (so that frames are grouped with just a single acknowledgement for all of the frames)
The low-power Internet of Things (IoT) introduces lossy radio links with ultra-constrained frame siz...
Pervasive Service Discovery (SD) in Low-power and Lossy Networks (LLNs) is expected to play a major ...
Techniques are described herein for a proactive method to achieve faster reformation in Lower-power ...
Low-power and lossy (LLN) networks, including Wireless Sensor Networks, provide an important buildin...
Techniques are described herein to improve Quality of Service (QoS) performance of Low power and Los...
The embodiments presented herein relate to low-power and lossy networks (LLNs), and more specificall...
Technology is evolving towards a higher degree of automation and connectivity, with concepts of Perv...
In this paper, we introduce Drizzle, a new algorithm for maintaining routing information in the Low-...
Presented herein are novel techniques to resolve cache capacity issues in Low-Power and Lossy Networ...
Proposed herein is a complete solution to choose the appropriate PHY mode for delivering packets bet...
International audienceLow-Power Lossy Networks (LLNs) are at the core of many Internet of Things sol...
Information-Centric Networking (ICN) promises an enhanced reliability for content retrievals in the ...
Internet of Things (IoT) is the one of the emerging field today, which consists of various resource-...
Techniques are described herein for an executable greedy algorithm of data collection to produce an ...
Techniques are described herein to distinguish fading for adaptive modulation in a Low power and Los...
The low-power Internet of Things (IoT) introduces lossy radio links with ultra-constrained frame siz...
Pervasive Service Discovery (SD) in Low-power and Lossy Networks (LLNs) is expected to play a major ...
Techniques are described herein for a proactive method to achieve faster reformation in Lower-power ...
Low-power and lossy (LLN) networks, including Wireless Sensor Networks, provide an important buildin...
Techniques are described herein to improve Quality of Service (QoS) performance of Low power and Los...
The embodiments presented herein relate to low-power and lossy networks (LLNs), and more specificall...
Technology is evolving towards a higher degree of automation and connectivity, with concepts of Perv...
In this paper, we introduce Drizzle, a new algorithm for maintaining routing information in the Low-...
Presented herein are novel techniques to resolve cache capacity issues in Low-Power and Lossy Networ...
Proposed herein is a complete solution to choose the appropriate PHY mode for delivering packets bet...
International audienceLow-Power Lossy Networks (LLNs) are at the core of many Internet of Things sol...
Information-Centric Networking (ICN) promises an enhanced reliability for content retrievals in the ...
Internet of Things (IoT) is the one of the emerging field today, which consists of various resource-...
Techniques are described herein for an executable greedy algorithm of data collection to produce an ...
Techniques are described herein to distinguish fading for adaptive modulation in a Low power and Los...
The low-power Internet of Things (IoT) introduces lossy radio links with ultra-constrained frame siz...
Pervasive Service Discovery (SD) in Low-power and Lossy Networks (LLNs) is expected to play a major ...
Techniques are described herein for a proactive method to achieve faster reformation in Lower-power ...