Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management

• Authors: John Sum;Hong Shen;Chi-sing Leung;G. Young
• Venue: IEEE Transactions on Parallel and Distributed Systems
• Year: 2003

Ant routing is a method for network routing in the agent technology. Although its effectiveness and efficiency have been demonstrated and reported in the literature, its properties have not yet been well studied. This paper presents some preliminary analysis on an ant algorithm in regard to its population growing property and jumping behavior. For synchronous networks, three main results are shown. First, the expected number of agents in a node is shown to be no more than(1+\max_i\{|\Omega_i|\})km , where|\Omega_i|is the number of neighboring hosts of thei{\rm{th}}host,kis the number of agents generated per request, andmis the average number of requests. Second, the expected number of jumps of an agent is shown to be no larger than(1+\max_i\{|\Omega_i|\}) . Third, it is shown that for allp\geq (1+\max_i\{|\Omega_i|\})km , the probability of the number of agents in a node exceedingpis not greater than\int_p^\infty {\cal{P}}(x) dx , where{\cal{P}}(x)is a normal distribution function with mean and variance given by Mean =(1+\max_i\{|\Omega_i|\})km , Var. =2km (1+\max_i \{|\Omega_i|\})+{\frac{(km)^2(1+\max_i\{|\Omega_i|\})^2}{(1+2\max_i\{|\Omega_i|\})}} . The first two results are also valid for the case when the network is operated in asynchronous mode. All these results conclude that as long as the value\max_i\{|\Omega_i|\}is known, the practitioner is able to design the algorithm parameters, such as the number of agents being created for each request,k , and the maximum allowable number of jumps of an agent, in order to meet the network constraint.