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Study and Implementation of Low-Efficient Energy on WSN Protocol

Author: XiaShengXian
Tutor: ZhaoYongYi
School: Shenyang Normal
Course: Applied Computer Technology
Keywords: Wireless sensor networks Low power consumption MAC protocol Positioning aids flood Swarm particle optimization algorithm
CLC: TN915.04
Type: Master's thesis
Year: 2011
Downloads: 93
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Abstract


Wireless sensor network is one of the research areas of current concern, it involves the comprehensive application of the wireless communication technology, sensor technology, distributed information processing and microelectronics technology disciplines. As the wireless sensor network is a source of energy is extremely limited network, thus reducing the energy consumption of sensor network research focus on wireless sensor network protocol. Wireless sensor network layers agreement, the media access control (MAC) layer and network layer routing protocol design energy efficiency of the sensor network has a decisive role in this paper is as follows. The paper presents a low power listening (LPL, low power listening) to reduce the crosstalk energy consumption of the preamble and increase the data transfer throughput wireless sensor network MAC protocol. The agreement low power listening (LPL) MAC protocol for wireless sensor networks using long preamble wake nodes, leading to unnecessary energy consumption \information and node information of the destination node to the received data packet start message comparison (DS-MAC), and to decide whether to continue to receive subsequent messages and data according to the comparison result. For LPL at the same time in each transmission period, the node receives the fixed packet, but must consume the energy required by the transmission of long preamble, the introduction of the strategy of the reservation time slot (SR-MAC), extend the single reception timing of the data cycle, increasing the amount of data received by the receiving node in each cycle. Simulation results show that the agreement will not only improve the energy consumption of the sensor network, but also to increase the network throughput. This paper proposes a new type of wireless sensor network positioning auxiliary flooding algorithm. Algorithm using the location information to reduce unnecessary data transmission, and the sensor network is divided into a plurality of virtual grid sensor node in the virtual grid is classified as an internal node or gateway node, internal nodes only in the virtual grid issued within the data between the grid of the gateway node is responsible for data forwarding. The new method to reduce redundant transmission of the same packet through node, so as to achieve the purpose of energy saving. Proof of completeness of the data distribution process and the analysis of the energy consumption of different types of networks, and the actual deployment of the test results on ZigBee platform prove that the assisted positioning the Flooding routing algorithm has good validity of the energy consumption. Multidimensional services load balancing problem in wireless sensor networks, the establishment of a network load balancing mathematical model based on a swarm particle optimization algorithm, the swarm particle optimization algorithm (PSO algorithm) is applied to the sensor network load balancing algorithm-PSOB algorithm. The PSOB algorithm based on network load, service load on the adaptive adjustment of network nodes to balance network traffic load. Thinking of the application of the algorithm through theoretical analysis and experimental results show that the algorithm is well balanced effect. Finally, the work of the paper is a summary of the analysis proposed by the lack of agreement and gives further direction.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication network > General issues > Communication protocols, communication protocols
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