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Global energy balanced intellectualized algorism for routing wireless sensing network

A wireless sensor network and global energy technology, which is applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve the problems of reduced effective coverage area, energy exhaustion, and excessive energy consumption, and achieve large social effects and The effect of the economic effect

Inactive Publication Date: 2007-05-09
SHANGHAI UNIV
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  • Summary
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AI Technical Summary

Problems solved by technology

[0003] The wireless sensor network adopts multi-hop wireless communication technology, and each node sends the collected data to the aggregation node by means of multi-hop relay, which will inevitably lead to a heavy amount of data transmission undertaken by the inner nodes and excessive energy consumption
If the node does not consider the energy consumption of the next-hop node when selecting the route, some key nodes will be exhausted due to the heavy load traffic, and eventually the network will be cut into several isolated islands, and the effective coverage area will be reduced

Method used

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  • Global energy balanced intellectualized algorism for routing wireless sensing network
  • Global energy balanced intellectualized algorism for routing wireless sensing network
  • Global energy balanced intellectualized algorism for routing wireless sensing network

Examples

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Embodiment Construction

[0032] A preferred embodiment of the present invention is described in detail as follows in conjunction with accompanying drawing:

[0033]In this embodiment, the advantage of the ant colony algorithm is used when selecting the route, and the idea of ​​the simulated annealing algorithm is used to realize the balanced optimization of the global energy of the system.

[0034] The specific algorithm is as follows:

[0035] 1. Route establishment preparation stage:

[0036] The establishment of node hops is initiated by the Sink point; the nodes within a hop range around the Sink point (assumed to be K) first know that there is a Sink point in their adjacency node table, then count their own hops as 1, and send to Other nodes in the adjacent node list send their own hop count information. Adjacent node K+1 receives the message, writes the hop number of K node in the adjacent node table as 1, and makes a judgment, selects the node with the smallest hop number in the adjacent node...

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Abstract

The invention uses the ant colony algorithm and the simulated annealing algorithm, combining system energy entropy concept, to simulate the food searching process of ant colony and to search route in the radio sensing network, and meanwhile to simulate the annealing process of metal in order to make system have maximum energy entropy and also keep the route having most balanced energy consumption of global nodes.

Description

technical field [0001] The invention relates to a wireless sensor network routing algorithm, in particular to an intelligent wireless sensor network routing algorithm with global energy balance. Background technique [0002] As an emerging technology, wireless sensor network has greatly enhanced people's ability to obtain information by virtue of its self-organization, multi-point cooperative monitoring and other characteristics that traditional networks do not have, and has attracted more and more attention. It has a very important application prospect. In wireless sensor networks, energy consumption is a very important issue. A very important research hotspot of wireless sensor network is how to save energy and prolong network lifetime. Relevant studies have shown that wireless transmission is the most energy-consuming part in wireless sensor networks. Routing technology, as one of the key technologies of wireless sensor networks, directly affects the number of times da...

Claims

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Application Information

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IPC IPC(8): H04L12/56H04L45/02
Inventor 王潮何军刘海涛龚旭贾翔宇王海玲时向勇汪镭
Owner SHANGHAI UNIV
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