97results about How to "Lower energy bills" patented technology

This invention discloses one method to align and manage in sensor network, which comprises the following steps: a, before distributing sensor network points to set whole key Km and coded random function F for each point with only identification and to compute point backup key Kid; b, in sensor initiating phase, establishing sensor network by cluster structure as cluster code key data set; c, in sensor operation, when there is new points, adding new communication range of HELLO information.

The invention discloses a budget power guidance-based high-energy-efficiency GPU (Graphics Processing Unit) cluster system scheduling algorithm, which comprises the following steps of: decomposing all tasks to be scheduled into basic tasks; dividing all the basic tasks into a plurality of independent task clusters; generating virtual nodes according to the task clusters to form one-to-one mapping relation between the task clusters and the virtual nodes; and finally performing many-to-many mapping on the virtual nodes to physical nodes to meet the requirement of dynamically allocating a proper processor to the tasks in the task clusters for execution of the tasks. According to the budget power guidance-based high-energy-efficiency GPU cluster system scheduling algorithm, the energy efficiency of a GPU cluster system can be effectively increased, so that an obvious energy-saving effect can be realized in the long term.

The invention discloses a positioning method of a node in a wireless sensor network. The positioning method comprises the following steps of: establishing a rectangular coordinate system to obtain position coordinates of each anchor node in each wireless sensor network; enabling a node to be positioned to acquire ID (Identification) and position coordinates of all the anchor nodes as well as hop counts of the node to be positioned and the corresponding anchor node in the wireless sensor network through a distance vector exchange agreement, and establishing a corresponding anchor node information list for the node to be positioned; inquiring a self anchor node information list by the node to be positioned; when the number of the anchor nodes is more than or equal to 3 in a 1 hop range, carrying out ranging by using the node to be positioned to acquire a ranging sample between the node to be positioned and each anchor node; and processing the ranging sample by using a voting average combined filtering algorithm to establish a CSS (Chirp Spread Spectrum) ranging mode to acquire accurate ranging information between the node to be positioned and each anchor node.

The invention discloses a vehicle position privacy protection method of a vehicular ad hoc network. The method comprises the following steps: a privacy model is first set to assess a current position privacy of different vehicles so as to reflect a reputation module and a mix-zone criterion of a cooperation degree of the current vehicle; any one vehicle in the vehicular ad hoc network determines whether to cooperate and change a pseudo name to protect a vehicle i according to a current reputation value of the vehicle i sending a pseudo name request and based on a judgment whether the one vehicle is within a mix-zone of the vehicle i; and the reputation value of the one vehicle can be dynamically adjusted according to the current position privacy of the one vehicle and pseudo name residual time. The method of the invention can meet the requirement of protecting the current position of the vehicle and can substantially reduce the energy cost; and the method has the advantages that more vehicles are involved in the pseudo name change and the safety of the position privacy of the vehicular wireless network is greater.

The invention discloses a gradient based energy-efficient uneven clustering data forwarding strategy designing method in the wireless sensor network. In a conventional data forwarding strategy based on an even clustering technology, the problem of unbalanced energy consumption is caused by multi-hop routing realized by a backbone network constituted by cluster-head nodes, that is, the network is partitioned and the network survival time is shortened due to the fact that the cluster-head node close to a base station forwards mass data, is excessively loaded, untimely consumes the energy and loses efficacy. Therefore, a clustering mechanism is operated on a gradient model, and data forwarding is completed through uneven clustering and dynamic selection based on node energy, the number of non-cluster-head nodes and low-gradient key nodes in the opposite positions of the nodes so as to improve the energy efficiency of inter-cluster communication. According to the designing method provided by the invention, the energy overhead of the network is reduced while the energy consumption among the nodes can be balanced, so that the utilization rate of network resources is improved, and the network survival time is maximized.

The invention provides an energy-efficient identity authentication method in a multi-level clustering wireless sensor network, which belongs to the technical field of computer networks. According to the method disclosed by the invention, a symmetric encryption algorithm is taken as the basis, a base station is used for transferring identity information, and all the nodes only need to be subjected to double-way identity authentication with cluster head nodes according to the characteristics of the multi-level clustering wireless sensor network, so that the unnecessary authentication process is avoided. According to the energy-efficient identity authentication method disclosed by the invention, the energy-efficient whole-network necessary identity authentication can be realized in the multi-level clustering wireless sensor network, and identity safety of the nodes of the whole network can be ensured at minimum energy cost.

The invention discloses a wireless chain-type transmission system. The wireless chain-type transmission system comprises a plurality of nodes, wherein the nodes are arranged in a chain mode and are divided into three layers. The first layer of nodes is composed of ordinary nodes, wherein the ordinary nodes are used for collecting data of a wireless sensor network on the site. The second layer of nodes is composed of cluster-head nodes, wherein the cluster-head nodes are used for aggregating the data collected by the ordinary nodes within the coverage area of the cluster-head nodes, the cluster-head nodes which are in direct communication with aggregation nodes are named forwarding cluster-head nodes, and the forwarding cluster-head nodes are used for forwarding data of the other cluster-head nodes to the aggregation nodes and are further used for transmitting data of the ordinary nodes within the coverage area of the forwarding cluster-head nodes to the aggregation nodes. The third layer of nodes is composed of the aggregation nodes, wherein the aggregation nodes are used for receiving the data transmitted by the forwarding cluster-head nodes and forwarding the data to a user. According to the wireless chain-type transmission system, transmission delay of data packets is reduced, reliability of a chain-type network is improved, the energy utilization ratio of the chain-type network is increased, and the load of the chain-type network can be balanced.

The invention discloses a parallel decoding method and a parallel decoding system for multi-tag signals in a backscattering protocol. The parallel decoding method comprises the steps of: acquiring anIQ domain signal sequence and clustering sampling points to obtain a plurality of clusters, and identifying all neighbor clusters of each cluster according to a transition probability between arbitrary two clusters; acquiring layers of the clusters according to all the acquired clusters and all the neighbor clusters of each cluster; determining level combinations corresponding to each layer of theclusters; and identifying a level combination sequence corresponding to the IQ domain signal sequence according to a cluster to which each signal belongs, decomposing the level combination sequence to obtain a level transmission sequence corresponding to each tag, and completing the decoding of each tag. The parallel decoding method and the parallel decoding system realize the decoding of a plurality of collision tags in a dynamic environment, and are very suitable for a highly dynamic and highly unstable backward scattering system in practical application. Since the parallel decoding methodand the parallel decoding system do not depend on stability of signals, the tag side does not need to make any changes, thereby reducing energy consumption of the tag side and improving the reliability and robustness of the algorithm.