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Routing Schemes in Wireless Multimedia Sensor Networks
Published in Ankur Dumka, Sandip K. Chaurasiya, Arindam Biswas, Hardwari Lal Mandoria, A Complete Guide to Wireless Sensor Networks, 2019
Ankur Dumka, Sandip K. Chaurasiya, Arindam Biswas, Hardwari Lal Mandoria
Hierarchical routing protocol divides the entire network into different levels in which nodes have different responsibilities. Normally, this routing protocol consists of two routing layers and data flows from the lower layer to the higher layer. Here different clusters form within the node having maximum capabilities and responsibilities as the cluster head (CH), and the rest of the nodes as child node/cluster members. These child node/cluster members can only communicate with the CH, but the CH can communicate with the base station (BS), thus communication flows in a hierarchical manner. These protocols are better than flat routing protocol in terms of energy efficiency, reliability, and scalability. The performance of these protocols depends upon the process cluster formation. There are two protocols associated with this: energy efficient and perceived QoS-aware video routing (PEMuR) and energy efficient QoS assurance routing (EEQAR).
Cluster based routing method using mobile sinks in wireless sensor network
Published in International Journal of Electronics, 2023
Elham Ghorbani Dehkordi, Hamid Barati
Hierarchical routing algorithms are one of the most common techniques for reducing energy consumption in wireless sensor networks. In these algorithms, the entire sensor network is divided into different categories called clusters (Kumar & Chaturvedi, 2015, 2017). In each cluster, the node that has better criteria than the others, such as higher energy level, is selected as the cluster head (CH). CH is responsible for transmitting data within the cluster and routing between clusters and the base station (BS). In hierarchical routing algorithms, data is transferred from one level to another. This will distribute traffic throughout the network (Kaur & Kumar, 2019; Yarinezhad & Hashemi, 2019a). This algorithm uses a layered structure to shorten the data transmission path and reduce energy consumption by the nodes.
A comprehensive and systematized review of energy-efficient routing protocols in wireless sensor networks
Published in International Journal of Computers and Applications, 2019
In this section, we discuss about the reviews and surveys on routing protocols that have been done so far in the literature. Karaki et al. in [22] have discussed about architecture and functioning of sensor network, various routing protocols. Routing protocols are categorized into two classes depending on the network structure and protocol operation. Network structure based protocols are further segregated into flat routing, hierarchical routing, and location-based routing. While protocols operation-based protocols are further segregated into multipath-based, query-based, negotiation-based, QoS-based, and coherent based routing. In their study, authors have discussed about open routing issues and challenges for the realization of sensor network. In [17], a survey of recent routing protocols of WSNs has been done. Also, various design issues related to routing protocols are discussed. In this paper, routing protocols are categorized into three broad types, i.e. data-centric, hierarchical and position based. Further, protocols defined in the literature are classified into these categories. At the end, challenges are discussed.
An energy-efficient, coalition game theory based hierarchical routing protocol for WSNs
Published in International Journal of Computers and Applications, 2021
B. S. Premananda, Nupur K. Neti, K. P. Ashwin, Shreya V. Basu
Several techniques exist in order to improve the energy efficiency of a WSN among which hierarchical routing, commonly known as clustering, seems to be the most influential [3]. Hierarchical routing protocols are of special interest because they can combine data reduction, topology reduction as well as routing techniques into one protocol. The method involves grouping nodes into clusters where one node is elected as the cluster head (CH). The role of the CH is to collect data from its cluster members (CMs) and convey the aggregated data to the base station (BS). This results only in CHs transmitting data to the BS, instead of all the individual nodes, thus reducing the overall energy consumption of the network.