Proposed A Heterogeneous Clustering Algorithm to Improve QoS in WSN

Mehran Mokhtari, Masoomeh Tavakoli
2016 International Journal of Computer Networks & Communications  
In this article it has presented leach extended hierarchical 3-level clustered heterogeneous and dynamics algorithm. On suggested protocol (LEH3LA) with planning of selected auction cluster head, and alternative cluster head node, problem of delay on processing, processing of selecting members, decrease of expenses, and energy consumption, decrease of sending message, and receiving messages inside the clusters, selecting of cluster heads in large sensor networks were solved. This algorithm uses
more » ... hierarchical heterogeneous network (3-levels), collective intelligence, and intra-cluster interaction for communications. Also it will solve the problems of sending data in Multi-BS mobile networks, expanding inter-cluster networks, overlap cluster, genesis orphan nodes, boundary change dynamically clusters, using backbone networks, cloud sensor. Using sleep/wake scheduling algorithm or TDMA-schedule alternative cluster head node provides redundancy, and fault tolerance. Local processing in cluster head nodes, and alternative cluster head, intra-cluster and inter-cluster communications such as Multi-HOP cause increase on processing speed, and sending data intra-cluster and inter-cluster. Decrease of overhead network, and increase the load balancing among cluster heads. Using encapsulation of data method, by cluster head nodes, energy consumption decrease during sending data. Also by improving quality of service (QoS) in CBRP, LEACH, 802.15.4, decrease of energy consumption in sensors, cluster heads and alternative cluster head nodes, cause increase on lift time of sensor networks. 26 bandwidth and packet loss. There are two approaches to service quality that can be shown by a simple model . [2] [5] . QoS parameters of WSNs may have different types, which depend on network application. Different types of QoS parameters there is in wireless sensor networks, that will depend on the type of application. Some quality assessment parameters include: The whole network covering, the optimal number of active nodes in the network, the accuracy of the observation (measurement accuracy of the sensor), the accuracy of the data transfer, data transfer in the shortest possible time, reliability, network lifetime and energy consumption in the networks. [6] . As defined in [7, 8] , Quality of Service is a set of service requirements to be met by the network while transporting a flow. "Here a flow is" a packet stream from source to a destination (unicast or multicast) with an associated (QoS) [7] . In other words, QoS is a measurable level of service delivered to network users, which can be characterized by packet loss probability, available bandwidth, end-to-end delay, etc. In this section, first, we have discussed about the QoS requirements & Challenges in WSNs followed by the major existing approaches for supporting QoS in WSNs. The requirement of QoS in WSNs can be specified from two perspectives [9] . These are application specific QoS and Network QoS. As discussed in Section 1, QoS parameters in WSNs may vary, depending on the application domain. Some of the application specific QoS parameters are data accuracy, aggregation delay, fault tolerance, coverage [9], optimum number of active sensors [4] etc. The application demands certain requirements of the deployment of sensors which are directly related to the quality of application. From the network perspective, it has been considered as how to provide QoS constrained sensor data while optimally utilizing sensor resources. Every class of application has some common requirements in network. The network is concerned with how to transmit the sensed data from the sensor field to the sink node fulfilling the required QoS. There are three data delivery models in sensor network [2] . These are event driven, query driven and continuous. The event driven application in WSNs is mostly delay tolerant, interactive and non End-to-End. The sensors detect the occurrence of certain events and to take action accordingly. In one side of the application there is a sink node and on the other side a group of sensor nodes which are affected by certain events [5] . The query driven application WSNs are interactive, query based, delay tolerant, mission critical and non end-to-end. The queries are generated by the sink node on demand and sent to sensor nodes inquiring occurrence of certain events. In traditional data network, QoS defines certain parameters such as packet loss, delay, jitter, bandwidth, and, etc. However, the QoS requirements in WSNs such as data accuracy, aggregation delay, coverage, fault tolerance and network lifetime, and, etc. In general we can say that energy in wireless sensor network (WSN) based on clustering are used the following 4 case (items):
doi:10.5121/ijcnc.2016.8402 fatcat:g5l63dm6rngz7htq6zngtler4u