An ant colony optimization-based dynamic energy efficient mobile agent (ADEEMA) routing algorithm is
presented in this paper. In this algorithm, a novel probabilistic model is constructed, by which mobile agent (MA) can
find an energy efficient route from processing node to target nodes. The route considers both the energy consumption on it
and the node residual energy. In order to adapt to the topology changes in dynamic sensor network, a new local pheromone
re-initialization rule is presented, the new optimization route can be renewed fast by this rule. The simulation results show
that, compared with other algorithms, the presented method can obtain a route with less overhead on it, and the residual
energy of the node is considered.