At the present stage wireless sensor network exists some deficiencies such as finite energy, limited communication capability, multi-hop routing and dynamic topology. In addition too many nodes which are distributed intensively influence also performance of wireless sensor network. Besides distributed optimization problem always impact to efficiency of the network. For data processing and routi...

This paper compares the efficiency of different routing and resilience mechanisms to avoid congestion in a network for a set of protected failures. A routing mechanism is more efficient than another one if it achieves a lower maximum link utilization in the same networking scenario. With resilience requirements, the maximum link utilization over the set of protected failure scenarios becomes th...

the vehicle routing problem with simultaneous pickup and delivery (vrpspd) is a well-known combinatorial optimization problem which addresses provided service to a set of customers using a homogeneous fleet of capacitated vehicles. the objective is to minimize the distance traveled. the vrpspd is an np-hard combinatorial optimization problem. therefore, practical large-scale instances of vrpspd...

Multicasting is a technique for data routing in networks that allows multiple destinations to be addressed simultaneously. The implementation of multicasting requires, however, the solution of difficult combinatorial optimization problems. In this chapter, we discuss combinatorial issues occurring in the implementation of multicast routing, including multicast tree construction, minimization of...

The research of the ForCES technology has made a great progress. However current research of ForCES mainly focuses on architecture and techniques. In order to ensure ForCES architecture network works well, it is significant to take account of routing optimization for ForCES architecture. In this paper, we will introduce the minimizing sum of path-cost model based on multiple traffic matrices to...

Several strategies have been proposed for routing in the Low Earth Orbit (LEO) satellite networks. The multi-layered routing approaches are envisioned as promising because they use Middle Earth Orbit (MEO) satellite to extend the LEO satellite network’s communication capabilities. The previously proposed multi-layered routing approaches, however, still assume that the satellites in the same lay...

In this paper, we investigate the routing optimization problem in wireless mesh networks. While existing works usually assume static and known traffic demand, we emphasize that the actual traffic is time-varying and difficult to measure. In light of this, we alternatively pursue a stochastic optimization framework where the expected network utility is maximized. For multi-path routing scenario,...

There are many problems related to the design of networks. Among them, the message routing problem plays a determinant role in the optimization of network performance. Much of the motivation for this work comes from this problem which is shown to belong to the class of nonlinear convex multicommodity ow problems. This paper emphasizes the message routing problem in data networks, but it include...

Network lifetime improvement and uncertainty in multiple systems are the issues of wireless sensor network routing. This paper presents fuzzy based particle swarm optimization routing technique to improve the network scalability. Significantly, in the cluster formation procedure, fuzzy based system is used to solve the uncertainty and network balancing. Cluster heads play an important role to r...