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Coverage Holes Compensation Algorithms Based on Event-Driven Strategy in Wireless Sensor Networks
Zeyu Sun,Yali Yun,Yalin Nie,Yuanbo Li 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.9
The process of random deployments, Coverage holes’ phenomena were appeared in wireless sensor network system. This paper presents a probabilistic model by means of event-driven policy coverage holes’ compensation method (Coverage Holes Compensation Algorithms Based on Event-Driven Strategy, CHCAEDS). Firstly, the characteristics of random deployment verified, given the random deployment of representation, followed by the use of probabilistic knowledge within the surveillance area coverage desired and the number of nodes is solved using the minimum number of nodes in order to achieve maximum coverage area; and finally, simulation experiment show, CHCAEDS algorithm with other algorithms in the network life cycle and the algorithm running time increased by 12.59% and10.82%.
Zeyu Sun,Chuanfeng Li,Yalin Nie,Yangjie Cao,Yuanbo Li 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.9
MIMO system performance mainly by correlation of spatial interference presence and space, In order to overcome these effects, it is necessary by pre-coding technology to achieve, Here we mainly use block diagonalization algorithm both linear pre-coding for analysis and further integration of the average power allocation algorithm and power allocation algorithm MATLAB simulation. Through research and data analysis, system performance block diagonalization algorithm is better than under zero forcing algorithms. When the same number of transmit antennas, the number of receive antennas are the same, the average power and power calculation algorithm with SNR increases, can effectively channel capacity to achieve the desired optimum value.
A Nonlinear Multiple-target Coverage Protocol Based on Data Integration of Wireless Sensor Networks
Zeyu Sun,Yongsheng Zhang,Chuanfeng Li,Yangjie Cao,Yalin Nie,Yuanbo Li 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.10
In the process of coverage for multiple targets, due to the existence of a large number of redundant data make the effective monitoring area coverage decreased and force the network to consume more energy. Therefore, this paper proposes a multi-target k-coverage preservation protocol. First of all, establish the affiliation between the sensor nodes and target nodes through the network model, present a method to compute the coverage expected value of the monitoring area; secondly, in the network energy conversion, using scheduling mechanism in sensor nodes to attain the network energy balance, and achieve different network coverage quality through different nodes energy conversion. Finally, simulation results show that NMCP can effectively reduce the number of active nodes meeting certain coverage requirements and then improve the network lifetime.