Data Dissemination Delay Research Articles

An Approach to Reduce Vehicular Traffic Data Dissemination Delay Using VDDRA (Vehicular Destined Resolution Algorithm)

An Approach to Reduce Vehicular Traffic Data Dissemination Delay Using VDDRA (Vehicular Destined Resolution Algorithm)

Reliable Physical-Layer Cross-Technology Communication With Emulation Error Correction

Physical-Layer Cross-Technology Communication (PHY-CTC), which achieves direct communication among heterogeneous technologies, brings great opportunities to help diverse IoT devices achieve harmonious coexistence through explicit coordination. The core technique of PHY-CTC is signal emulation which utilizes the signal of one technology (e.g., WiFi) to emulate the signal of another technology (e.g., ZigBee). The signal emulation based approach, however, inevitably introduces emulation errors which further lead to unreliable communication. In this paper, we aim to recover the intrinsic emulation errors and establish reliable PHY-CTC. We propose TwinBee which (i) explores chip-level error patterns and (ii) corrects emulation errors with symbol-level chip-combining coding/decoding and soft mapping. To achieve this, TwinBee dose not require accessing chip information as well as making hardware changes. We implement TwinBee on commodity devices (i.e., Laptops with Atheros AR2425 WiFi card and TelosB motes) and the USRPN210 platform (for physical layer evaluation). Experiment results show that TwinBee significantly improves the Packet Reception Ratio (PRR) of PHY-CTC from 50%–60% to more than 99%. Furthermore, we demonstrate the reliability of TwinBee in a data dissemination application over a network of 20 TelosB nodes, achieving over $42\times $ reduction of data dissemination delay compared to the state-of-the-art.

Different Routing Protocols for Wireless Body Sensor Area Network

Locomotion produced by body movements in Wireless Body Area Networks (WBANs) affects the link-quality of intra-BAN and inter-BAN interacting units, that, in turn, changes the Quality-of-Service (QoS) of individual WBAN, that includes reliability, efficient data transmission and network throughput . Further, the variation in link quality In central of WBANs and Access Points (APs) makes the WBAN-equipped cold-blooded more resource-constrained in nature, which also varies the data dissemination delay. Therefore, to lessen the DDA of the network, WBANs send Cold-blooded’ physiologic info to local servers using the proposed opportunistic transient connectivity establishment algorithm. Additionally, limb/body movements induce dynamic changes to the on-body network topology, which, in turn, increases the network management cost and decreases the life-time of the sensor nodes periodically. Simulation results show significant improvement in the network performance compared to the existing solutions.

R-DRA: a replication-based distributed randomized algorithm for data dissemination in connected vehicular networks

As data dissemination is of great importance for applications in connected vehicular networks (VANETs), we aim to facilitate the performance of data dissemination in this study. Consider strongly connected VANETs where a set of vehicular nodes exists to disseminate information. To reduce redundant transmissions and improve data dissemination delay, the number of data replicas that can be spread in the network is controlled. A replication-based distributed randomized algorithm is proposed, in which a balanced network status can be achieved after average operations among the nodes. In the algorithm, the data carrier distributes the dissemination tasks to multiple nodes to speed up the dissemination process such that the dissemination would be accelerated and consume less network resource. We evaluate the complexity of network convergence by analyzing the number of communication stages consumed when the network converges to a consensus. Theoretical analysis shows that the network can achieve balance quickly in the case of complete graph, which supports the real-time data dissemination in dense VANETs. Simulation results validate that the proposed algorithm can disseminate data to the vehicles within a specific area with high efficiency.

Energy-Efficient and Distributed Network Management Cost Minimization in Opportunistic Wireless Body Area Networks

Mobility induced by limb/body movements in Wireless Body Area Networks (WBANs) significantly affects the link-quality of intra-BAN and inter-BAN communication units, which, in turn, affects the Quality-of-Service (QoS) of each WBAN, in terms of reliability, efficient data transmission and network throughput guarantees. Further, the variation in link-quality between WBANs and Access Points (APs) makes the WBAN-equipped patients more resource-constrained in nature, which also increases the data dissemination delay. Therefore, to minimize the data dissemination delay of the network, WBANs send patients’ physiological data to local servers using the proposed opportunistic transient connectivity establishment algorithm. Additionally, limb/body movements induce dynamic changes to the on-body network topology, which, in turn, increases the network management cost and decreases the life-time of the sensor nodes periodically. Also, mutual and cross technology interference among coexisting WBANs and other radio technologies increases the energy consumption rate of the sensor nodes and also the energy management cost. To address the problem of increased network management cost and data dissemination delay, we propose a network management cost minimization framework to optimize the network throughput and QoS of each WBAN. The proposed framework attempts to minimize the dynamic connectivity, interference management, and data dissemination costs for opportunistic WBAN. We have, theoretically, analyzed the performance of the proposed framework to provide reliable data transmission in opportunistic WBANs. Simulation results show significant improvement in the network performance compared to the existing solutions.

Low-Latency and Energy-Efficient Data Preservation Mechanism in Low-Duty-Cycle Sensor Networks

Similar to traditional wireless sensor networks (WSN), the nodes only have limited memory and energy in low-duty-cycle sensor networks (LDC-WSN). However, different from WSN, the nodes in LDC-WSN often sleep most of their time to preserve their energies. The sleeping feature causes serious data transmission delay. However, each source node that has sensed data needs to quickly disseminate its data to other nodes in the network for redundant storage. Otherwise, data would be lost due to its source node possibly being destroyed by outer forces in a harsh environment. The quick dissemination requirement produces a contradiction with the sleeping delay in the network. How to quickly disseminate all the source data to all the nodes with limited memory in the network for effective preservation is a challenging issue. In this paper, a low-latency and energy-efficient data preservation mechanism in LDC-WSN is proposed. The mechanism is totally distributed. The data can be disseminated to the network with low latency by using a revised probabilistic broadcasting mechanism, and then stored by the nodes with LT (Luby Transform) codes, which are a famous rateless erasure code. After the process of data dissemination and storage completes, some nodes may die due to being destroyed by outer forces. If a mobile sink enters the network at any time and from any place to collect the data, it can recover all of the source data by visiting a small portion of survived nodes in the network. Theoretical analyses and simulation results show that our mechanism outperforms existing mechanisms in the performances of data dissemination delay and energy efficiency.

Social role-based secure large data objects dissemination in mobile sensing environment

At present, in mobile sensing environment, almost all the existing secure large data objects dissemination algorithms are centralized. The centralized servers publicize the sensing tasks and are also the authorized parties to initiate sensed data dissemination. This paper proposes a novel social role and network coding based security distributed data dissemination algorithm referred as PRXeluge to overcome the shortcomings of existing centralized data dissemination algorithms. Unlike the existing participatory sensing applications, in PRXeluge, service provider just publicizes the sensing tasks and utilizes a conditional proxy re-signature technique to authorize different social roles such as authorized smartphone users to be utilized as a contracted picture reporters, which sense the data and directly disseminate the sensed large data. Furthermore, PRXeluge proposes the XOR (Exclusive-OR) network coding scheme on the basis of Seluge security framework. To maximize the number of successfully decoded packets, PRXeluge introduces a neighbor node table to determine the optimal coding scheme. Experimental results reveal that the proposed PRXeluge shows better performance in terms of lower data packet transmission and dissemination delay compared to that of Seluge. Furthermore, it is observed from the experiment that the proposed algorithm is stronger as compared to that of centralized scheme and performs the fine grain access control without giving any additional load to subscriber nodes.