Abstract
Recently, the demands of the Internet of Things (IoT) have been steadily growing .The main idea of the Internet of Things (IoT) is to revolutionize the current Internet by enriching it with a large number of intelligent objects that communicate with each other. Heterogeneous communication technologies are integrated into the Internet to achieve the IoT application. The function of these objects is to collect data from sensors, process it, and communicate it. Therefore, sensors are main features of IoT. The Heterogeneous Wireless sensor network (HWSN) is a key technology element of the Internet of Things (IoT), which is considered as the future evolution of the Internet. The integration of HWSNs into IoT makes communication with any type of object possible and opens the gates to a multitude of application areas. We have proposed: (Load-Balancing based Clustering Multipath routing protocol for Heterogeneous sensor networks). After having detailed the functioning of our protocol, we present the realization of the simulations by the NS3 simulator, whose objective is to allow us to evaluate the performances of the proposed (Load-Balancing based Clustering Multipath routing protocol for HWSN) by comparing the results with the two protocols: (Weight based clustering in wireless sensor networks) and (Distributed Energy efficient Adaptive Clustering Protocol). We thus take into account several metrics for the performance of evaluation. We also note that the proposed protocol is 47% better than DEACP with respect to fist node die, and 35% better than WBCHN with respect to last node die while maintaining the average data transmission delay. We were able to show through the simulation results obtained that the objectives have been reached.
Highlights
According to the application, various architectures and protocols have been taken into consideration for sensor networks
Our proposal uses three metrics to choose the leaders of the groups, the first metric is the residual energy of the node (Eres), the second metric is the degree of the node in its region, which in our case represents the number of neighbors of the node (Deg) and the third one represents the distance between the node and the base station (Dis_(i,BS))
For 200 nodes, we can see the low energy consumption of the LBCMH protocol energy consumption of the LBCMH protocol compared to the WBCHN and DEACP protocols: the reason is that in the LBCMH protocol the selection of ClusterHead is determined according to hybrid metrics: residual energy, distance between the node and BS, number of neighbors
Summary
Various architectures and protocols have been taken into consideration for sensor networks. The HWSNs paradigm of running nodes on limited battery power has been extended by the recent development of powerline communications and energy harvesting devices in which nodes can be powered by a battery where small amounts of energy harvested from the environment (sunlight, vibration, magnetic waves, temperature gradient, etc.) can be used This energy heterogeneity must be taken into account during the design of new application scenarios and self-organization protocols. We propose a new algorithm that balances the load and ensures the highest longevity of a wireless sensor network This algorithm follows the Time-Driven model and uses distributed clustering, it is based on the residual energy, the degree of connectivity of the nodes and the distance to the SB during cluster-head selection [7]. The cluster heads are perfectly determined by a proposed mathematical equation [9], the cluster-heads are appropriately distributed over the area of interest, improvement of the reliability of the received data at the base station
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
