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Study On The Optimized Routing Protocol Of WSNs Under Coal Mine Based On Cross-layer Design

Posted on:2017-01-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:P RenFull Text:PDF
GTID:1318330536950757Subject:Communication and Information Engineering
Abstract/Summary:PDF Full Text Request
Data monitoring with wireless sensor networks(WSN) has profoundly impacted the safety and production on coal mining. Underground mining are characterized by tough working conditions and hazardous environments, which is hard to guarantee the efficient and stable transmission of various data information. For this reason, it is needed to improve the rationality of network distribution and adapt to the impact brought by environmental changes to network systems, thus promoting the transmission reliability. The wireless sensor network has integrated sensor, embedded computing, network, wireless communication, distributed information processing and other related technologies into a whole, it provides a new technology platform for intelligent mine, which play monitoring and provid solution for "the last one mile" access. Free from the support of fixed equipment and the restriction of traditional wired network, the WSN has the advantages of quick deployment and easy networking. Accordingly, it is notably suitable for severe environments in mines where traditional wired communication mechanism cannot be applied easily.Cross-layer design has been applied to study networking and routing in this paper according to underground environment of coal mines, application needs of undergroud production. As a result, the network can better adapt to undergroud environmental changes and meet needs of every user so as to promote data transmission efficiency of the network system. The major contributions of this dissertation are as below:1)In order to adapt to the space structure and environment characteristics of coal mine laneway, and improve the performance and prolong the lifetime of the network, this article presents an energy efficient cross-layer routing mechanism for wireless sensor networks in the environmental monitoring of the coal mine laneway. We theoretically analyse the problem of unbalanced energy exhaustion among cluster heads in the whole network, and calculate the effective density function which is used for cluster head electing. We also present a cross-layer routing scenario with this cluster heads selection strategy, which considers available link bandwidth and available queue buffer length of routing nodes. Simulation results show that our proposed scheme outper-forms other algorithms in terms of energy balance of average node, prolonging the network lifetime and better network throughput and packet delivery ratio. The EBUCR is more suitable for the monitoring in coal mine lane-way.2)A novel power-efficient clustering protocol is proposed, for adapting the time-varying fading characteristics of radio waves in coal mining face monitoring with Wireless Sensor Networks. Number of active sensor nodes and sliding window is set up to keep electing optimal number of cluster heads in each round. Calculating the channel efficiency between nodes and base stations by probe frame, and joint surplus energy as a judgment of cluster head electing. In addition, adjusting the sending power in different phases of the clustering protocol by effective fade margin. Simulation results show that our proposed scheme outperforms other three algorithms in terms of prolonging the network lifetime and reducing the network packet loss rate, and more suitable for the time-varying fading environment.3)The study is based on multi-path routing decision strategy restricted by QoS attribute of the intuitionistic fuzzy set of entropy weight. In order to meet different business needs and ensure downhole mobile target monitoring, the network has applied cross-layer technology to minimally meets QoS needs based on multi-path routing so as to discover and maintain multiple transmission paths. Moreover, the intuitionistic fuzzy set theory is utilized to reflect advantages and disadvantages of multiple parameters in multiple paths through fuzzy normalization to create a multi-parameter multi-path routing decision matrix. Weight of each parameter is computed objectively according to the information entropy theory. Advantages and disadvantages of multiple paths are decided by using TOPSIS method. As reflected by related results, the TOPSIS decision based on the intuitionistic fuzzy set of entropy weight has effectively solved the optimization problem of multiple paths for mobile ad-hoc network restricted by multiple parameters and made the network more suitable for application needs of sensitive network for multiple businesses under mobile environment.
Keywords/Search Tags:wireless sensor networks, cross-layer design, energy efficient, anti-fading, cluster routing, multi-attribute multipath routing
PDF Full Text Request
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