This paper describes the novel wireless routing protocol made for mobile ad hoc networks or wireless sensor networks using the bio-inspired technique. Bio-inspired algorithms include the routing capabilities taken from the social behavior of ant colonies, bird flocking, honey bee dancing, etc and promises to be capable of catering to the challenges posed by wireless sensors. Some of the challenges of wireless sensor networks are limited bandwidth, limited battery life, low memory, etc. An energy-efficient multipath routing algorithm based on the foraging nature of ants is proposed including many meta-heuristic impact factors to provide good robust paths from source to destination to overcome the challenges faced by resource-constrained sensors. Analysis of individual impact factor is represented which justifies their importance in routing performance. The multi-path routing feature is claimed by showing energy analysis as well as statistical analysis in-depth to the readers. The proposed routing algorithm is analyzed by considering various performance metrics such as throughput, delay, packet loss, network lifetime, etc. Finally, the comparison is done against AODV routing protocol by considering performance metrics where the proposed routing algorithm shows a 49% improvement in network lifetime.

本文介绍了利用生物启发技术为移动自组织网络或无线传感器网络开发的新型无线路由协议。受生物启发的算法包括从蚁群的社交行为，鸟类聚集，蜜蜂跳舞等获得的路由功能，并有望能够应对无线传感器带来的挑战。无线传感器网络面临的一些挑战是带宽有限，电池寿命有限，内存不足等。提出了一种基于蚂蚁觅食特性的节能多路径路由算法，该算法包括许多元启发式影响因素，以提供良好的鲁棒路径。从源头到目的地，以克服资源受限的传感器所面临的挑战。表示了对单个影响因素的分析，这证明了它们在路由性能中的重要性。多路径路由功能通过向读者展示能量分析和统计分析而得到宣称。通过考虑各种性能指标（例如吞吐量，延迟，数据包丢失，网络寿命等）来分析所提出的路由算法。最后，通过考虑性能指标来与AODV路由协议进行比较，其中所提出的路由算法在性能方面提高了49％。网络寿命。