In the medical Internet of Things, the design of routing algorithm has always been a very critical problem. In view of this problem, this paper designs a routing algorithm combining clustering and sleep scheduling mec...
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The Energy Internet (EI) is recently proposed as a new energy system framework for future smart grid where all distributed electrical devices are interconnected via energy routers (ERs). With the novel EI, the traditi...
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Within this Technical Report, we present the full analysis of 61 routing protocols for Wireless Sensor Networks (WSNs) for the purposes of routing in Payment Channel Networks (PCNs). In addition, we present the full r...
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The performance of three routing selection algorithms is compared in terms of bandwidth blocking probability, quality of transmission, and run time in EONs over the C+L band. The min-max frequency algorithm shows the ...
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Energy and time consumption are the two most common challenges regarding communication optimization in the Wireless sensor network (WSN) routing algorithms. There are many different approaches for solving these two ma...
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ISBN:
(纸本)9781728173764
Energy and time consumption are the two most common challenges regarding communication optimization in the Wireless sensor network (WSN) routing algorithms. There are many different approaches for solving these two major issues in WSNs. These approaches optimize over time or energy separately and yet rarely take into account multiple criteria when choosing the next hop on the route. In order to address this open problem in WSNs, it is advantageous to combine multiple criteria during the next hop selection step. In this paper, we propose a new concept called routing Ensembles. Our approach takes into account the individual selection criterion for the next hop using various multiple routing algorithms and applies a voting mechanism to decide on the next hop in the route collectively. We tested our routing ensemble with five well-known base routing methods, i.e., Greedy, NFP, MPoPR, MFR, and Compass and then selected the most voted node as the next hop. This process repeats until either the destination node is reached or the routing process fails. This concept was tested and validated using multiple simulated networks of varying sizes. The experimental analysis concluded that the routing ensembles allowed us to: (1) increase the delivery rate regardless of the network field size, (2) minimize both the energy and time consumption and (3) enhance the network performance only using traditional and directly routing algorithms.
Level routing LEACH protocol has uneven cluster head distribution, and each cluster head rotation takes place throughout the network, which will cause excessive energy consumption. However, the application of ant colo...
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A mobile ad-hoc network (MANET) is a continuously self-configuring, infrastructure-less network of the wireless mobile device. Nodes are connected wirelessly and also responsible for data forwarding (no data transfer ...
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Public transport networks (PTN) can serve as a basis to establish low-cost communication solutions by using Delay- and Disruption-tolerant Networking (DTN) technologies. Since vehicles move according to a schedule, DT...
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Wireless sensor networks (WSNs) are resource-constrained networks with limited battery power, computation abilities and communication capabilities at the sensor node level. A long-standing need in the area is to reduc...
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Wireless sensor networks (WSNs) are resource-constrained networks with limited battery power, computation abilities and communication capabilities at the sensor node level. A long-standing need in the area is to reduce energy consumption of the WSN nodes and to extend the network lifetime, along with improving the network reliability and the network quality. Energy-efficient routing protocols can improve the WSN performance, and the algorithms have been explored widely by the researchers. In the majority of the work, sensor nodes have been considered homogeneous in their configuration and capabilities. However, in practical scenarios and with the advent of an era of connected devices, called Internet of Things, consideration of node heterogeneity in WSN has become inevitable. Nodes' heterogeneity can be exploited constructively in WSN routing algorithms. In the literature, many different heterogeneous WSN scenarios (e.g., energy, computation, link heterogeneities) have been considered and the routing algorithms have been proposed for performance improvement in such scenarios. This paper focuses on the routing concepts for diverse heterogeneous WSNs scenarios and covers the state of the art in the area. The clustering-based approaches for routing decisions are extensively covered under different heterogeneous WSN scenarios. Along with presenting a comprehensive review of the routing algorithms under different varieties of heterogeneous WSNs, the paper also discusses the effects and interdependencies of different heterogeneities in routing decisions and unveils new research directions in the area.
We introduce BROUTE, a benchmark suite for vehicle routing optimization algorithms. We define a selection of algorithms traditionally used in vehicle routing optimization. They capture essential features that are also...
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