Abstract
The design and development of routing protocol for wireless sensor networks (WSN) are guided by the specific requirements of their corresponding sensing applications. This paper proposes a routing protocol to enhance real-time performance with energy efficiency. In order to save the overall energy of the system, sleep scheduling is used. As the multi-objective optimization approach can simultaneously optimize several conflicting issues, find high-quality solutions and satisfy constraints, the routing algorithm and sleep scheduling algorithm are developed with an efficient particle encoding scheme and multi-objective fitness function. The routing algorithm builds a trade-off between energy consumption of the nodes and delay. Whereas, the sleep scheduling can simultaneously optimize two conflicting and correlated objectives such as number of active sensor nodes and coverage rate of the monitoring area.
The proposed algorithms are experimented widely and the results are compared with the existing algorithms to demonstrate their performance in terms of number of active nodes, number of hops, network lifetime, energy consumption, and number of sent messages to the base station.