DESYNC-TDMA is a self-organizing algorithm based on bioinspired features used to implement a collision-free MAC. It does not require a global clock or other infrastructures, and it automatically adjusts to the number of participating nodes to ensure that the available bandwidth is always fully utilized. In DESYNC-TDMA the time slots assigned to each node are equally allocated according to the number of nodes, and its slots are allocated one over the number of nodes. It is hard to guarantee the certain level of QoS for certain types of traffic. In this paper, we propose Distributed Call Admission Control (D-CAC) for DESYNC protocol, which is able for nodes to control joining the network with distributed manner. Our scheme needs to add only small amount of bit/flag information to the fire messages of DESYNC protocol. Simulation results showed that D-CAC is able to guarantee a certain amount of allocated slots to send its traffic by control not to join the network if congested.
Bio-inspired routing protocols use the principle of swarm intelligence, which finds the optimal path to the destination in a distributed and autonomous way in dynamically changing environments; therefore, they can maximize the routing performance, reduce the control overhead, and recover a path failure quickly according to the change in the network topology. In this paper, we propose a bio-inspired routing protocol for mobile ad hoc networks. The proposed protocol uses a technique of overhearing for obtaining routing information without additional overhead. Through overhearing, a pheromone is diffused around the shortest path between the source and the destination. On the basis of this diffused pheromone, a probabilistic path exploration is executed and the useful alternative routes between the source and the destination are collected. Therefore, the proposed routing protocol can gather up-to-date effective routing information while reducing the control overhead. The simulation results show that the proposed routing protocol outperforms the typical ad hoc on-demand distance vector (AODV) and AntHocNet protocols in terms of the delivery ratio and the end-to-end delay and significantly decreases the routing overhead against AntHocNet.
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