CSR-IM: Compressed Sensing Routing-Control- Method With Intelligent Migration-Mechanism Based on Sensing Cloud-Computing

Abstract

Considering the event-based WSNs routing, the frequent changes of topology may result to the large energy costs in the whole network. Therefore, this paper proposes a Compressed Sensing Routingcontrol-method with Intelligent Migration-mechanism based on Sensing Cloud-computing (CSR-IM). First, the method gives a determining the moving speed and position of the target node through compressed sensing theory, and at the same time, it gives the lower bound calculation process of the target node state estimation value at k + 1 time by the probability knowledge. Second, with the purpose of reducing the network load, the routing tree with the center of fog nodes is established to obtain the data in the route effectively and optimize the data aggregation routing process, and then energy cost of the whole network is balanced. Finally, the simulation experiments show that method of this paper (CSR-IM) and other algorithms have improved the average data aggregation rate by 8.19%, and the average network coverage has increased by 12.65%, which proves that the proposed algorithm is effective and practical. INDEX TERMS Intelligent migration-mechanism, sensing cloud-computing, routing-control-method, compressed sensing.

SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

“…Base station coordinates are as follows: BS1 � (150, 150), BS2 � (250, 250), R1 � 150, and R2 � 250. e initial energy of the sensor node is 5 J, the sensing radius is 5 m, the data packet length is 500 bits, the broadcast data length is 200 bits, E cpu � 5 nJ/bit, ε amp � 0.65 nJ/m 2 /bit, and E elec � 50 nJ/bit. According to formula (34), the single-hop distance is calculated as d opt � 12.71 m; according to formula (35), the number of clusters is m 1 � 11.08 and m 2 � 19.66, and the lower limit of the above three sets of values can be obtained; that is, m 1 � 11 and m 2 � 19. In order to save network energy consumption, the number of subcluster member nodes closer to the base station is smaller than the number of member nodes in the subcluster farther away.…”

“…e basic idea is that, under the premise of maintaining communication among cluster member nodes and adjacent nodes, multiple cluster head nodes communicate with the sink node in turn, and after the first round of cycles, it determines whether multiple cluster head nodes and sink nodes meet the alternate communication conditions, if the communication conditions are met, it continues to repeat the above operations, and if the communication conditions are not met, it compares the remaining energy of the cluster member nodes and lets the high-energy cluster members act as the cluster head node and repeat the last operation. Literature [35] proposed Compressed Sensing Routing-control-method with Intelligent Migration mechanism (CSR-IM). is method firstly determines the moving speed and position of the target node through the compressed sensing theory, and meanwhile, it uses the knowledge of probability to give the lower bound calculation process of the estimated value of the target node in any period.…”

“…According to formula (34) and formula (35), the total energy consumed by the entire network E tot , which can be calculated as a function of the clustering angle θ, that is, E tot � f(θ), we take the derivative of the variable θ and set it to 0, and then the optimal clustering angle θ opt can be obtained, which is shown as follows:…”

Edge Computing in Internet of Things: A Novel Sensing-Data Reconstruction Algorithm Under Intelligent-Migratoin Stragegy

“…Generate 10000 packets of ERL and BRL packets respectively with the simulation tools; because of two types of sequence samples, the Jarque-Bera test is performed on a sample z which is random at a significant level of 5%, respectively, to find their distributions obey the normal distribution law. Note the probability density distribution functions as f 1 (z) and f 2 (z), as shown in Formulas (6) and (7).…”

“…The associate editor coordinating the review of this manuscript and approving it for publication was Xiaofei Wang . through the Sink [5]- [7]. The main and crucial function of the WSN is collecting related information which is of sensing in the deployment area.…”