Distributed Barrier Coverage in Wireless Visual Sensor Networks With $\beta$-QoM

Mobile sensor relocation problem: Finding the optimal (nearest) redundant sensor with low message overhead

“…When the header of Grid(5,0) receives the HUNGRY packet, it knows that the nearest redundant sensor s t is located in Grid (5,4), and its distance from the requesting place is 1 2 + (4.3) 2 = √ 19.49. Therefore, the right boundary for sending the HUN-GRY packets is set as r rb1 = √ 19.49.…”

“…We can say, for the header of Grid(8,0), its HUNGRY packets will be transmitted to headers on its left hand side over a distance no longer than √ 31.72. When the header of Grid(6,0) receives the HUNGRY packet, as there is no redundant sensor in the sixth column and the distance of transmission of the HUNGRY packet is no greater than √ 31.72, where the distance between the center of Grid(8,0) (the location of requesting place) and boundary of Grid(6,0) is 2.5, the header of Grid(6,0) will send the HUNGRY packet to the header of Grid (5,0). When the header of Grid(5,0) receives the HUNGRY packet, as there is no redundant sensor in the fifth column and the distance of transmission of the HUN-GRY packet is no greater than √ 31.72, where the distance between the center of Grid(8,0) and boundary of Grid(5,0) is 3.5, the header of Grid(5,0) will send the HUNGRY packet to the header of Grid (5,1).…”

“…Common applications of WSNs include environmental monitoring [9,20], public engineering [15,18], health monitoring [2,19], smart home [3,8,16], military [5,6], etc.…”

Coverage Holes Compensation Algorithms Based on Event-Driven Strategy in Wireless Sensor Networks

“…Due to the constraints and limitations of the wireless sensor network [9][10], such as: node energy is limited. Therefore, the following problems are mainly solved in the process of node coverage.…”

Sensor Node Deployment in Wireless Sensor Networks based on Ionic Bond-Directed Particle Swarm Optimization

“…Therefore sensor node deployment optimization in mobile WSNs has become a critical problem in wireless sensor network applications. Some previous works model the mobile sensors as the electrons [3,4] or molecules [5,6] to avoid uneven deployment where sensor nodes modeled as cluster architecture. Virtual force algorithm recently emerges as one of main approaches for dynamic deployment [7].…”