Over the last few years, sensor networks have attracted significant research interest. However, most studies have mainly focused on protocols for applications in which network performance assurances are not considered essential. With the emergence of mission-critical applications (e.g., health monitoring), performance control mechanisms are considered of prime importance in these types of applications. Performance control can be carried out by robust congestion control approaches that aim to

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... p the network operational under varying network conditions. Swarm intelligence (SI) is successfully employed to combat congestion by mimicking the collective behavior of bird flocks. In this way, the emerging global behavior of minimum congestion and routing of information flow to the sink is achieved collectively. A flockbased congestion control (Flock-CC) approach was proposed in the past. This paper aims at presenting a new, simpler version of the Flock-CC approach. Performance evaluations focusing on parameter setting of the new Flock-CC approach as well as on comparative studies between the new and the earlier version of Flock-CC are presented.