Spider monkey optimization routing protocol (SMORP) is designed to extend the lifetime of heterogeneous wireless sensor networks (HWSN). This protocol is beneficial for overcoming the challenge of uneven energy depletion, which can lead to network fragmentation and performance degradation. SMORP can calculate the most efficient path for routing data from sensors to the sink by considering cluster head, intra-cluster, and inter-cluster connections. This protocol uses clustering partitioning to organize heterogeneous nodes and has been shown to improve data latency reduction, stabilize energy depletion, and maximize HWSN lifetime. The benefits of using SMORP on HWSNs include:
- Data latency reduction: SMORP helps reduce data transmission latency by calculating the most efficient path for routing data from sensors to the sink, considering cluster head, intra-cluster, and inter-cluster connections.
- Stabilize energy depletion: SMORP helps stabilize the energy depletion of nodes in the network by optimizing data routing. This is crucial for maintaining network performance and extending its lifespan.
- Maximizing network lifetime: Simulation results show that SMORP can significantly improve the network lifetime for HWSNs.
- Organizing heterogeneous nodes: SMORP uses clustering partitioning to organize heterogeneous nodes in the network. It helps overcome uneven energy depletion and improves the overall network performance.
- Energy-efficient routing: SMORP is designed to ensure energy savings as a significant improvement goal. This is very important to extend the lifetime of the HWSN.
Overall, SMORP offers a robust and efficient solution for routing in HWSNs. SMORP also addresses the challenges of energy depletion and network lifetime while maintaining data latency reduction and network performance.
The nodes of wireless sensor networks (WSN) are severely restricted in terms of computing capabilities, limited communications, and limited power supplies, as it is difficult or impossible to replace or recharge the sensor battery. Consequently, the energy of nodes is one of the most important resources to consider when designing of WSNs. So, most of the routing protocols in WSNs are to assure the saving of energy as a significant aim for improvement. Nevertheless, just providing power is not sufficient to extend the lifetime of WSN. Where unbalance energy depletion in WSNs is a challenging issue often leading to splits the network and reduces its lifetime, also retrogression of its performance. This paper, therefore, uses a powerful routing protocol named spider monkey optimization routing protocol (SMORP) to generate an optimal data routing of the pathway for heterogeneous WSNs (HWSNs). SMORP, here, can compute the best way from a sensor to the sink through the cluster head, inside the intra-cluster, and the inter-cluster respectively. For this purpose and the organization of heterogeneous nodes, this paper uses the clustering partition. The simulation results revealed that SMORP significantly improves in terms of data latency reduction, stabilizing depletion of energy, and maximizing the network lifetime for HWSNs.
Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol
Imad S. Alshawi, Zainab Ali Abbood, Asaad A. Alhijaj
By: I. Busthomi
