Augmented Road Line Detection And Display System

An augmented road line display system that includes one or more sensors installed on a vehicle, one or more external databases, and processing circuitry. The processing circuitry is configured to receive inputs from the one or more databases, sensors of the vehicle, and a sub-system of the vehicle, build and validate a road line model to detect or predict a road line based on the inputs received, determine environmental conditions based on the inputs from one or more of the databases, and a sub-system of the vehicle, assign weights to the inputs received based on the environmental conditions to generate weighted inputs, and execute the road line model to determine the road line based on the weighted inputs.https://digitalcommons.mtu.edu/patents/1157/thumbnail.jp

A Mobile Agent Routing Protocol for Data Aggregation in Wireless Sensor Networks

Mobile agent data aggregation routing forwards mobile agents in wireless sensor network to collect and aggregate data. The key objective of data aggregation routing is to maximise the number of collected data samples at the same time as minimising network resource consumption and data collection delay. This paper proposes a mobile agent routing protocol, called zone-based mobile agent aggregation. This protocol utilises a bottom-up mobile agent migration scheme in which the mobile agents start their journeys from the centre of the event regions to the sink aiming to reduce the MA itinerary cost and delay and increase data aggregation routing accuracy. In addition, the proposed protocol reduces the impact of network architecture, event source distribution model and/or data heterogeneity on the performance of data aggregation routing

A Mobile Agent Routing Protocol for Data Aggregation in Wireless Sensor Networks

Mobile agent data aggregation routing forwards mobile agents in wireless sensor network to collect and aggregate data. The key objective of data aggregation routing is to maximise the number of collected data samples at the same time as minimising network resource consumption and data collection delay. This paper proposes a mobile agent routing protocol, called zone-based mobile agent aggregation. This protocol utilises a bottom-up mobile agent migration scheme in which the mobile agents start their journeys from the centre of the event regions to the sink aiming to reduce the MA itinerary cost and delay and increase data aggregation routing accuracy. In addition, the proposed protocol reduces the impact of network architecture, event source distribution model and/or data heterogeneity on the performance of data aggregation routing

CBA:a cluster-based client/server data aggregation routing protocol

Client/server routing forwards data samples from the source nodes to the sink through single or multi-hop paths which are formed over a flat or hierarchical infrastructure. Depending on the routing infrastructure, the intermediate nodes may perform in-network data aggregation to collect and combine the data samples which are measures of the environmental events. Minimising energy consumption is a vital requirement due to resource constraints in wireless sensor networks. Data collection delay should be minimised as it is the key to data freshness. At the same time, the number of collected data samples should be maximised, as it should lead to increased accuracy and robustness in data collection. Owing to these, we define the system objective to be maximising the number of delivered data samples, while minimising energy consumption and data collection delay. We propose a cluster-based client/server data aggregation routing protocol called Cluster-Based client/server data Aggregation routing protocol (CBA). It dynamically partitions the network into a set of data-centric clusters using a lightweight clustering approach based on the Hamming distance. The cluster-heads then form a Minimum Spanning Tree (MST) as the network backbone to forward aggregated results to the sink. A parallel collision-guided technique is used to minimise the establishment cost of the tree infrastructure. Compared with the conventional routing protocols like MR-LEACH and Directed DiFFusion, CBA reduces energy consumption and data collection delay and increases accuracy (the number of captured data samples). In addition, our protocol reduces the impacts of the network architecture and the event source distribution model (distributed and centralised) on the performance of data aggregation routing.<br/