Maintaining Information Freshness in Power-Efficient Status Update Systems

Applications requiring services from modern wireless networks, such as those involving remote control and supervision, call for maintaining the timeliness of information flows. Current research and development efforts for 5G, Internet of things, and artificial intelligence technologies will benefit from new notions of timeliness in designing novel sensing, computing, and transmission strategies. The age of information (AoI) metric and a recent related urgency of information (UoI) metric enable promising frameworks in this direction. In this paper, we consider UoI optimization in an interactive point-to-point system when the updating terminal is resource constrained to send updates and receive/sense the feedback of the status information at the receiver. We first propose a new system model that involves Gaussian distributed time increments at the receiving end to design interactive transmission and feedback sensing functions and develop a new notion of UoI suitable for this system. We then formulate the UoI optimization with a new objective function involving a weighted combination of urgency levels at the transmitting and receiving ends. By using a Lyapunov optimization framework, we obtain a decision strategy under energy resource constraints at both transmission and receiving/sensing and show that it can get arbitrarily close to the optimal solution. We numerically study performance comparisons and observe significant improvements with respect to benchmarks.

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“…Refs. [ 43 , 44 ] minimized the AoI when the sensor uses ON/OFF schemes with energy harvesting nodes. Ref.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Urgency of Information through Resource Constrained Joint Sensing and Transmission

Rafiee

Özel

2022

Entropy

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“…The average version age at each node in a network was evaluated in [12], where the status updates were delivered through a memoryless gossip protocol. The average AoI and average peak AoI of edge computing systems were analysed in [13], where sensor nodes firstly process the acquired information and then transmit the processed results to an edge receiver. The average AoI in energy harvesting wireless sensor networks was investigated in [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

Decode-and-Forward Short-Packet Relaying in the Internet of Things: Timely Status Updates

Zheng

Yang

Wei

et al. 2021

IEEE Trans. Wireless Commun.

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In this paper, a decode-and-forward (DF) shortpacket relaying model is developed to achieve timely status updates for intelligent monitoring within the Internet of Things (IoT), where the status updates generated at an IoT device are delivered to a remote server with the aid of a relay in both halfduplex (HD) and full-duplex (FD) modes. To characterise the data freshness of status updates, we exploit the age of information (AoI) as a metric, which is defined as the time elapsed since the generation of the latest successfully decoded status update. The average AoI is formulated and minimised for both HD-DF and FD-DF relaying IoT networks in finite blocklength regime. For the HD-DF relaying, we introduce a perfect approximation of the average AoI to solve the problem of average AoI minimisation with the optimal blocklengths in two phases. For the FD-DF relaying, we propose an iterative algorithm to solve the problem of average AoI minimisation by optimising the relay's transmit power and the blocklength. Illustrative numerical results not only substantiate the validity of our proposed algorithms, but also provide useful references for the IoT monitoring network design, specifically for the transmit power thresholds at the IoT device and the relay.Index Terms-Age of information (AoI), decode-and-forward (DF), finite blocklength regime, full duplex (FD), half duplex (HD), short-packet relaying, status updates.

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“…A line of research that is closely related to the status updating in energy harvesting communication systems in [12]- [14] is on resource constraints and age-energy tradeoff. We also note references [15], [16] that connect to computation communication synergies with average cost considerations. Reference [17] is on peak AoI in data preprocessing based IoT networks.…”

Section: Introductionmentioning

confidence: 99%

Timely Status Updating Through Intermittent Sensing and Transmission

Özel

2020

2020 IEEE International Symposium on Information Theory (ISIT)

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Consider an energy harvesting node where generation of a status update message takes non-negligible time due to sensing, computing and analytics operations performed before making update transmissions. The node has to harmonize its (re)transmission strategy with the sensing/computing. We call this general set of problems intermittent status updating. In this paper, we consider intermittent status updating through non-preemptive sensing/computing (S/C) and transmission (Tx) operations, each costing a single energy recharge of the node, through an erasure channel with (a) perfect channel feedback and (b) no channel feedback. The S/C time for each update is independent with a general distribution. The Tx queue has a single data buffer to save the latest packet generated after the S/C operation and a single transmitter where transmission time is deterministic. Once energy is harvested, the node has to decide whether to activate S/C to generate a new update or to (re)send the existing update (if any) to the receiver. We prove that when feedback is available average peak age of information (AoI) at the receiver is minimized by a thresholdbased policy that allows only young packets to be (re)sent or else generates a new update. We additionally propose window based and probabilistic retransmission schemes for both cases (a) and (b) and obtain closed form average peak AoI expressions. Our numerical results show average peak AoI performance comparisons and improvements.

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Maintaining Information Freshness in Power-Efficient Status Update Systems

Cited by 11 publications

References 21 publications

Optimizing Urgency of Information through Resource Constrained Joint Sensing and Transmission

Optimizing Urgency of Information through Resource Constrained Joint Sensing and Transmission

Decode-and-Forward Short-Packet Relaying in the Internet of Things: Timely Status Updates

Timely Status Updating Through Intermittent Sensing and Transmission

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