In considering home network environment, there is a possibility which provides limited/specific services by configuring the network in accordance with the particular context when linked to a variety of devices. In thi...
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ISBN:
(纸本)9781457705137
In considering home network environment, there is a possibility which provides limited/specific services by configuring the network in accordance with the particular context when linked to a variety of devices. In this paper, a distributed TDMA slot scheduling with prioritized control based on Lamport's bakery algorithm is proposed. The scheduling aims at the realization of media access control methods which can constitute a localized network by measuring the distance to respective node. The proposed scheme can be shown as a possible replacement of DRAND algorithm for Z-MAC scheme with a distance-measurement-oriented manner. The scheme can contribute to the efficient TDMA slot allocation.
Cyber-physical swarms represent a paradigm shift in distributedsystems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these comp...
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ISBN:
(纸本)9798350369458;9798350369441
Cyber-physical swarms represent a paradigm shift in distributedsystems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these complex systems, characterized by vast networks of cyber-physical entities with limited environmental awareness, yet capable of exhibiting emergent collective behaviors. These systems encompass a diverse array of scenarios, ranging from swarm robotics to the interconnectivity in smart cities, as well as the collaboration among augmented humans. The engineering of such systems presents unique challenges, primarily due to their intricate complexity and the spontaneous nature of their collective behaviors. This paper aims to dissect these challenges, offering a clear delineation of potential approaches. We present a comprehensive analysis, shedding light on the intricacies of engineering cyberphysical swarms and discussing modern solutions in engineering collective applications for such systems.
Executing analytics functionalities over data from highly distributed data sources and data streams is at the very core of the vast majority of Industrial Internet of Things (IIoT) applications. State of the art strea...
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ISBN:
(纸本)9781728105703
Executing analytics functionalities over data from highly distributed data sources and data streams is at the very core of the vast majority of Industrial Internet of Things (IIoT) applications. State of the art streaming engines provide the means for high performance analytics over high velocity IIoT streams, yet they still need significant programming and customization efforts when deployed in heterogeneous industrial environments. This paper introduces a configurable engine for distributed data analytics for IIoT applications. The engine leverages the performance of state of the art data streaming middleware platforms, which it augments with a set of digital models for configuring DDA operations. As such the introduced engine reduces the effort needed to implement and deploy distributed data analytics in IIoT environments. The engine is available as open source software and has been validated in a various real-life IIoT applications in different environments.
In this paper we propose an adaptive random walk for wireless networks. The lifetime of the walk is varied in such a way that at least a given fraction of nodes is covered, in expectation. The only parameter of the ra...
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ISBN:
(纸本)9781424444465
In this paper we propose an adaptive random walk for wireless networks. The lifetime of the walk is varied in such a way that at least a given fraction of nodes is covered, in expectation. The only parameter of the random walk, a, depends on the nominal network size N and on the required coverage. For sizes lower than N the required coverage is satisfied with lifetime slightly higher than the optimal one. The paper reports performance results obtained through analytical study backed up with simulations.
Opportunistic routing (OR) has been showed efficient for the harsh and challenging scenarios of underwater wireless sensor networks (UWSNs). This routing paradigm leverages the broadcast nature of wireless communicati...
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ISBN:
(纸本)9781538639917
Opportunistic routing (OR) has been showed efficient for the harsh and challenging scenarios of underwater wireless sensor networks (UWSNs). This routing paradigm leverages the broadcast nature of wireless communication, for improving data delivery. In contrast to traditional multi-hop routing, OR selects a subset of the neighboring nodes to be the next-hop candidate nodes, in which will participate forwarding data packets towards the destination. Hence, at each hop, a transmitted data packet is lost only if none of the next-hop candidate nodes receives it. Therefore, OR not only improves packet delivery rate, but also reduces network energy consumption since fewer retransmissions will be needed. However, the design of OR protocols for UWSNs is challenging, due to the characteristics of the underwater acoustic channel. For instance, the high and variable delay, multipath propagation, low bandwidth, and high energy consumption render impractical the use of the up to date protocols developed for wireless sensor and mesh networks. In this context, this tutorial gives a comprehensive review of the potentials and challenges of opportunistic routing in underwater sensor networks. In addition, based on an in-deep literature review, this tutorial will provide important guidelines for the design of novel protocols for different scenarios of UWSNs.
Topology Control Protocols configure transmission power of nodes in order to achieve specific properties to a given topology. These properties include the creation and maintenance of neighborhoods or other topological...
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ISBN:
(纸本)9781479946181
Topology Control Protocols configure transmission power of nodes in order to achieve specific properties to a given topology. These properties include the creation and maintenance of neighborhoods or other topological entities (like trees or clusters), load balancing in terms of connectivity degrees and provision of link symmetry. We see topology control as a two-fold problem where topological properties can also be affected by local network throughput. We propose SCLD-A2TP, a protocol that operates in a two phase adaptive scheme. First transmission power is adaptively adjusted with low throughput settings and nodes achieve a sufficient degree of symmetric and coherent links. Secondly throughput is maximized insofar as the degree is maintained. We assess various distributed heuristics for SCLD-A2TP via testbed experiments and show that up to an extend, link quality and symmetry as well as degree conformity of links can be regulated successfully by transmission power and adaptive throughput control.
In this paper, we propose a novel approach for efficiently sensing a remote field using wireless sensor networks. Our approach, the infer algorithm, is fully distributed, has low overhead and saves considerable energy...
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ISBN:
(纸本)0769523315
In this paper, we propose a novel approach for efficiently sensing a remote field using wireless sensor networks. Our approach, the infer algorithm, is fully distributed, has low overhead and saves considerable energy compared to using just the data aggregation communication paradigm. This is accomplished by using a distributed algorithm to put nodes into sleep mode for a given period of time, thereby trading off energy usage for the accuracy of the data received at the sink. Bayesian inference is used to infer the missing data from the nodes that were not active during each sensing epoch. As opposed to other methods that have been considered, such as wavelet compression and distributed source coding, our algorithm has lower overhead in terms of both inter-node communication and computational complexity. Our simulations show that on average our algorithm produces energy savings of 59% while still maintaining data that is accurate to within 7.9%. We also show how the parameters of the algorithm may be tuned to optimize network lifetime for a desired level of data accuracy.
Most underwater sensor networks choose acoustics as the medium for wireless transmission. However, electromagnetic waves also offer great merits for transmission in special underwater environment. A small scale wirele...
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ISBN:
(纸本)9781424444465
Most underwater sensor networks choose acoustics as the medium for wireless transmission. However, electromagnetic waves also offer great merits for transmission in special underwater environment. A small scale wireless sensor network is deployed using electromagnetic waves with a multi-hop static topology under shallow water conditions where there is a high level of sediment and aeration in the water column. Data delivery is scheduled via daily cycles of sleeping and waking up to transmit. Due to the unique features of the network, ad-hoc on-demand Distance Vector (AODV) is chosen as the routing protocol. Modeling and simulations are conducted to evaluate network performance in terms of failure tolerance, congestion handling, and optimal grid arrangements. The results demonstrate the likely effectiveness of the designated network for this and similar scenarios.
This paper presents an efficient sensing approach for activity recognition using multi-sensor fusion. The main achievement of the approach is to accurately recognize the human activity with the minimum body sensor usa...
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ISBN:
(纸本)9781457705137
This paper presents an efficient sensing approach for activity recognition using multi-sensor fusion. The main achievement of the approach is to accurately recognize the human activity with the minimum body sensor usage through the use of dynamic sensor collaboration. The Naive Bayes Classifier is adopted as the classification engine due to not only its easy implementation but also the advantages for multi-sensor fusion. The sensor selection is based on the real-time assignment information value of each sensor node. The platform is composed of a base station and a number of sensor nodes. The base station is used to assign the real-time information value for each sensor node, and fuse the chosen sensor data.
作者：
Ammari, Habib M.Fordham Univ
Grad Sch Arts & Sci Dept Comp & Informat Sci Fordham Wireless Sensor & Mobile Ad Hoc Networks Bronx NY 10458 USA
The coverage problem of a three-dimensional (3D) space has similarity with the 3D tiling problem, which can be stated as follows: How can a 3D space be tiled by replicas of tiles? This is an instance of the second par...
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ISBN:
(纸本)9781538639917
The coverage problem of a three-dimensional (3D) space has similarity with the 3D tiling problem, which can be stated as follows: How can a 3D space be tiled by replicas of tiles? This is an instance of the second part of Hilbert's 18th problem [14]: "What convex polyhedra exist for which a complete filling of all space is possible by juxtaposition of congruent copies?" In this paper, we propose a polyhedral framework to investigate the connected coverage problem in 3D wireless sensor networks. First, we restrict the sensors' sensing sphere to a variety of convex polyhedral space-fillers. Our study aims to find the largest enclosed convex polyhedral space-filler in the sensors' sensing sphere, with a goal to maximize their utilized sensing volume. Second, based on this analysis, we select a minimum number of sensors to cover a 3D space for deterministic and random sensor deployment. Third, we compute the ratio of the communication range to the sensing range of the sensors to ensure network connectivity. Fourth, we corroborate our analysis with various simulation results.
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