LSAPSP: Load distribution‐based slot allocation and path establishment using optimized substance particle selection in sensor networks

• Published in: International journal of communication systems Vol. 33; no. 8
• Main Authors: Natarajan, Mahendran, Subramanian, Shankar, Thangavel, Mekala
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 25.05.2020
• Subjects: Algorithms; Computer simulation; Data transmission; Design parameters; Energy conservation; load distribution; Load distribution (forces); LSAPSP; Nodes; Radio equipment; Residual energy; route discovery; Sensors; Slot allocation; Stress concentration; Wireless sensor networks; WSN
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.4343

Summary Sensor node energy conservation is the primary design parameters in wireless sensor networks (WSNs). Energy efficiency in sensor networks directly prolongs the network lifetime. In the process of route discovery, each node cooperates to forward the data to the base station using multi‐hop routing. But, the nodes nearer to the base station are loaded more than the other nodes that lead to network portioning, packet loss and delay as a result nodes may completely loss its energy during the routing process. To rectify these issues, path establishment considers optimized substance particle selection, load distribution, and an efficient slot allocation scheme for data transmission between the sensor nodes in this paper. The selection of forwarders and conscious multi‐hop path is selected based on the route cost value that is derived directly by taking energy, node degree and distance as crucial metrics. Load distribution based slot allocation method ensures the balance of data traffic and residual energy of the node in areal‐time environment. The proposed LSAPSP simulation results show that our algorithm not only can balance the real‐time environment load and increase the network lifetime but also meet the needs of packet loss and delay. Proposed algorithm selects the forwarders and energy conscious multi‐hop path based on the substance and particles selection by considering the prospective values also the load distribution based slot allocation method to ensure the balance of data traffic and residual energy of the node named as Load Distribution Based Slot Allocation and Path Establishment Using Optimized Substance Particle Selection in Sensor Networks. The algorithm suitable for real‐time system since it combines data scheduling with path establishment to ensure reduced energy consumption.