Routing of critical or unusual packets from source to sink nodes without packet drops is a challenging task in Wireless Sensor Networks (WSNs). Critical or high priority packets carry sensitive data that requires prompt delivery to sink node under emergency situations. Congestion may occur even after setting packet priority and routing high priority packets to sink. In order to preserve critical data reaching sink, priority setting of queue buffer is carried out with traffic load balancing in the MAC and transport layers. The existing congestion control algorithms throw light on rate control and resource control techniques with absence of works done on effectively routing critical packets to sink. Limited works are carried out to route highly sensitive packets from transport layer to sink by bio-inspired packet load distribution. The proposed WH-DTO mechanism enables priority allocation of sensed packets from Cluster Members (CMs) to Cluster Heads (CHs) and from CHs to sink node. The data prioritized packets are routed via relay nodes in clusters by following a bio-inspired mechanism for packet load distribution. The Ozmos technique follows osmosis process to balance packet load from a highly congested node region to a less congested node. Three types of agents operate on nodes namely alert, osmosis and relocation agents to boost even traffic distribution in network nodes. The proposed work is carried on ns3-testbed. WH-DTO is tested with existing algorithms such as EMA-PRDBS, WPDDRC, CSTP-MAC and OH_BAC and observed to achieve 28.5% efficiency in data delivery of high priority packets and 32% increase in network throughput.

将关键或异常数据包从源节点路由到接收节点而不丢包是无线传感器网络 (WSN) 中的一项具有挑战性的任务。关键或高优先级数据包携带敏感数据，在紧急情况下需要及时传送到宿节点。即使在设置数据包优先级并将高优先级数据包路由到接收器之后，仍可能发生拥塞。为了保留到达接收器的关键数据，队列缓冲区的优先级设置是在MAC和传输层进行流量负载平衡的。现有的拥塞控制算法揭示了速率控制和资源控制技术，但缺乏有效地将关键数据包路由到接收器的工作。通过受生物启发的数据包负载分配，将高度敏感的数据包从传输层路由到接收器进行了有限的工作。所提出的 WH-DTO 机制实现了从簇成员 (CM) 到簇头 (CH) 以及从 CH 到接收节点的感知数据包的优先级分配。数据优先数据包通过集群中的中继节点路由，遵循生物启发机制进行数据包负载分配。Ozmos 技术遵循渗透过程，以平衡从高度拥塞的节点区域到不太拥塞的节点的数据包负载。三种类型的代理在节点上运行，即警报代理、渗透代理和重定位代理，以促进网络节点中的流量分布均匀。提议的工作是在 ns3-testbed 上进行的。WH-DTO 使用 EMA-PRDBS、WPDDRC、CSTP-MAC 和 OH_BAC 等现有算法进行测试，观察到高优先级数据包的数据传输效率提高了 28.5%，网络吞吐量提高了 32%。