Abstract:Concurrent Transmissions (CT) based flooding appears as a highly reliable and low latency mechanism to achieve source-to-sink communication of packets within a Wireless Sensor Network (WSN). CT are usually misunderstood, since they are mainly analyzed in the baseband domain. A comprehensive analysis, including the effects of the carrier, demonstrates that they cannot work in simple phase-modulated communication systems due to the beating effect. In contrast, non-coherent frequency receivers offer a very robust… Show more
“…The benefit of this approach, key to the operation of Atomic-SDN, is that it allows the protocol to be temporally decoupled from normal network operation; VOLUME x, 2019 allowing it to be run alongside other control and application protocols or, as in the case of Atomic-SDN, be used to regularly configure those protocols. Multiple Initiators: Subsequent studies to the original Glossy paper have shown that the receiver is able to reliably demodulate multiple concurrent transmissions of the same data not necessarily because of so-called constructive interference, as the authors first considered, but likely as a result of transmissions being demodulated as non-coherent Minimum-Shift Keying (MSK), as well as Direct Sequence Spread Spectrum (DSSS) minimizing the error rate [27]- [29].…”
Section: B Concurrent Transmissions and Synchronous Floodingmentioning
The adoption of Software Defined Networking (SDN) within traditional networks has provided operators the ability to manage diverse resources and easily reconfigure networks as requirements change. Recent research has extended this concept to IEEE 802.15.4 low-power wireless networks, which form a key component of the Internet of Things (IoT). However, the multiple traffic patterns necessary for SDN control makes it difficult to apply this approach to these highly challenging environments. This paper presents Atomic-SDN, a highly reliable and low-latency solution for SDN in low-power wireless. Atomic-SDN introduces a novel Synchronous Flooding (SF) architecture capable of dynamically configuring SF protocols to satisfy complex SDN control requirements, and draws from the authors' previous experiences in the IEEE EWSN Dependability Competition: where SF solutions have consistently outperformed other entries. Using this approach, Atomic-SDN presents considerable performance gains over other SDN implementations for low-power IoT networks. We evaluate Atomic-SDN through simulation and experimentation, and show how utilizing SF techniques provides latency and reliability guarantees to SDN control operations as the local mesh scales. We compare Atomic-SDN against other SDN implementations based on the IEEE 802.15.4 network stack, and establish that Atomic-SDN improves SDN control by ordersof-magnitude across latency, reliability, and energy-efficiency metrics.
“…The benefit of this approach, key to the operation of Atomic-SDN, is that it allows the protocol to be temporally decoupled from normal network operation; VOLUME x, 2019 allowing it to be run alongside other control and application protocols or, as in the case of Atomic-SDN, be used to regularly configure those protocols. Multiple Initiators: Subsequent studies to the original Glossy paper have shown that the receiver is able to reliably demodulate multiple concurrent transmissions of the same data not necessarily because of so-called constructive interference, as the authors first considered, but likely as a result of transmissions being demodulated as non-coherent Minimum-Shift Keying (MSK), as well as Direct Sequence Spread Spectrum (DSSS) minimizing the error rate [27]- [29].…”
Section: B Concurrent Transmissions and Synchronous Floodingmentioning
The adoption of Software Defined Networking (SDN) within traditional networks has provided operators the ability to manage diverse resources and easily reconfigure networks as requirements change. Recent research has extended this concept to IEEE 802.15.4 low-power wireless networks, which form a key component of the Internet of Things (IoT). However, the multiple traffic patterns necessary for SDN control makes it difficult to apply this approach to these highly challenging environments. This paper presents Atomic-SDN, a highly reliable and low-latency solution for SDN in low-power wireless. Atomic-SDN introduces a novel Synchronous Flooding (SF) architecture capable of dynamically configuring SF protocols to satisfy complex SDN control requirements, and draws from the authors' previous experiences in the IEEE EWSN Dependability Competition: where SF solutions have consistently outperformed other entries. Using this approach, Atomic-SDN presents considerable performance gains over other SDN implementations for low-power IoT networks. We evaluate Atomic-SDN through simulation and experimentation, and show how utilizing SF techniques provides latency and reliability guarantees to SDN control operations as the local mesh scales. We compare Atomic-SDN against other SDN implementations based on the IEEE 802.15.4 network stack, and establish that Atomic-SDN improves SDN control by ordersof-magnitude across latency, reliability, and energy-efficiency metrics.
“…In fact, the time required for data collection varies owing to different data collection strategies. According to the different MAC protocol used in data collection, it can be divided into contentionbased data collection mechanisms [1], [9], [13], [26], [32], [36] and non-contention based data collection mechanisms [4], [7]. The non-contention MAC protocol is represented by the Time Division Multiple Access (TDMA) protocol [4], [7].…”
Section: Related Workmentioning
confidence: 99%
“…The non-contention MAC protocol is represented by the Time Division Multiple Access (TDMA) protocol [4], [7]. Most of the data collection protocols adopt are contentionbased protocols [1], [9], [13], [26], [32], [36]. The main feature of the non-contention data collection protocol represented by the TDMA protocol is that the time is divided into units called slots.…”
Section: Related Workmentioning
confidence: 99%
“…As a result, there are fewer network requirements in this protocol, which can be applied to various networks. However, the main disadvantage of such method is that it requires competing channels between multiple nodes, whereby the performance in terms of energy consumption and delay is not as good as the TDMA protocol [1], [9], [13], [26], [32], [36]. Some research work related to this paper is discussed in detail below.…”
Section: Related Workmentioning
confidence: 99%
“…With the development of microprocessor technology, more and more intelligent sensing devices have been applied to various applications, which greatly expanding their application field [1]- [4]. Wireless sensor network (WSNs) are essential elements for realizing the Internet of Things (IoTs) [5]- [8], which can be widely used in industrial production sites [9], [10] traffic information [11], [12], crop monitoring [13]- [15], medical monitoring [16], [17], personal health monitoring of personal wearable devices and other applications [18], [19].…”
The wireless sensor networks (WSNs) have a great application prospect, which is composed of much simple hardware and small-size sensor nodes to realize the perception of the surrounding environment. It is often widely used that nodes work in a duty cycle mechanism of periodic sleep and awakening in WSNs. However, this mechanism also increases latency and the routing table length whereas saving energy. In this paper, the Self-adjustable Active Sequence (SAC) scheme is proposed to solve the above problems. It enables optimization of energy, latency and routing tables. The main innovations are as follows. Firstly, the SAC scheme divides the continuous active slots into multiple shorter slots to reduce the latency. Second, SAC scheme adds more active slots by using the remaining energy. Third, decreasing the number of the forwarding nodes to reduce the routing table length. In this case, the optimization of delay only brings small gains, so we should focus on the improvement of routing. It has a better performance in reducing the delay and reducing the length of the routing table through both theoretical analysis and experimental results. If and only if the continuous active slots are divided into several segments, the delay is reduced by 33%. And the number of active slots by using the far sink region energy further reduce the delay by 29% in general. What's more, when reducing the size of the forwarding nodes set, the routing table length is further reduced by 29%.
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