1. A model for combination of set covering and network connectivity in facility location Rana Afzali and Shaghayegh Parhizi

2. Introduction Set Covering Network Connectivity Model Formulation Case Study Conclusion Future Works 2 A model for combination of set covering and network connectivity

3. One of the classical objectives in location modeling is “coverage”. In many optimization problems in networking,connectivity is a main requirement. 3 A model for combination of set covering and network connectivity

4. Both of these two models have been studied a lot separately, but the studies which consider these two together are rare. Goal: Minimizing the total Cost,subject to two main constraints  covering and connectivity. 4 A model for combination of set covering and network connectivity

5. The problem of locating sensors to minimize the total cost with covering demands points by using sensors while all sensors are connected to each other is considered.  where to put sensors  Each demand point is covered by which sensor  How sensors are connected to each other 5 A model for combination of set covering and network connectivity

6. Problem Description 6 A model for combination of set covering and network connectivity

7. Problem Description 7 A model for combination of set covering and network connectivity

8. Problem Description 8 A model for combination of set covering and network connectivity

9. Problem Description 9 A model for combination of set covering and network connectivity

10. SET COVERING Ensure that each customer considered to be “served” by a set of facilities has a facility within reasonable travel distance. Introduced by Church and ReVelle (1974) Many applications such as location of emergency services, the location of retail facilities and signal- transmission facilities (cell-phone towers, light standards, etc.) 10 A model for combination of set covering and network connectivity

11. NETWOK CONNECTIVITY several optimization problems with many applications, in which the network connectivity is a requirement. One of those problems is the minimum cost spanning tree problem. The goal is to find a minimum cost connected subgraph of a network spanning tree of the graph is a connected subgraph in which there are no cycles 11 A model for combination of set covering and network connectivity

12. Minimal Spanning Tree Four of the spanning trees of the graph 12 A model for combination of set covering and network connectivity

13. CHANGING CONTINUOUS REGION TO DISCRETE feasible region for sitting sensors is continuous We define the potential nodes as nodes belonging to the network intersect point set.Any point on the network that is r distance away from demand point i ∈ N is a NIP. The NIPS is the set of all NIPs plus all demand points. 13 A model for combination of set covering and network connectivity

14. CHANGING CONTINUOUS REGION TO DISCRETE Define (a, x, b) a non-nodal point at a distance of x from node a on link (a, b) When r =4, the NIPS is {1, 2, 3, (1, 2, 2), (1, 4, 2), (2, 4, 3), (2, 6, 3), (1, 2, 3), (1, 4, 3)}. 14 A model for combination of set covering and network connectivity

15. MODEL FORMULATION The goal :minimizing the total cost  cost of locating facilities  cost of connecting the facilities 15 A model for combination of set covering and network connectivity A DC B A A D C C B B

16. MODEL 16 A model for combination of set covering and network connectivity

17. MODEL 17 A model for combination of set covering and network connectivity

18. Model 18 A model for combination of set covering and network connectivity

19. Problem Size This model can solve a problem in size of 300 potential points and 500 demand points. A model for combination of set covering and network connectivity 19

20. Numerical Example Locating sensors in 20 potential capitals of states to cover all states in USA 20 A model for combination of set covering and network connectivity

21. Result (Location of Sensors) 21 A model for combination of set covering and network connectivity

22. Result(covering) 22 A model for combination of set covering and network connectivity

23. Sensitivity Analysis parameters :radius coverage and the cost of locating and connecting the facilities. A model for combination of set covering and network connectivity 23 Radius Number of facilities (Sensors) 4508 5504 10502

24. Conclusion Solving a problem of a combination of set covering and network connectivity problems. Developing a model Applying the model for a real case 24 A model for combination of set covering and network connectivity

25. Future Work A more reasonable model would have a gradual decline in the coverage frequency as a function of distance from the sensor. Difference if demand points cover by one sensor or more. Consider coverage radius as a decision variable 25 A model for combination of set covering and network connectivity

26. Future Work Developing heuristic Using Meta-heuristics for solving the problem in Large-size 26 A model for combination of set covering and network connectivity

27. 27 A model for combination of set covering and network connectivity