Faculty Publications
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Item Baud Rate-Based Hierarchical Multihop Routing Protocol for WSNs(Springer Science and Business Media Deutschland GmbH, 2020) Sowmya, G.V.; Manjappa, M.In wireless sensor networks (WSNs), the data sensed by the sensor node are forwarded to the sink node either by direct communication or by multihop communication. The disadvantage of direct communication is that the sensor nodes consume more energy to reach the sink node as each sensor node has to work alone to reach the sink node, and if the sink node is too far, condition gets worsens. Contrary to direct communication, the multihop communication saves energy as it forwards the data to the nearest neighbor node which in turn forwards the data toward the sink node. In multihop communication, choosing the best neighbor node for forwarding the data is the most challenging task. Hence, in this article, a novel hierarchical multihop routing protocol for WSNs referred to as “Baud Rate-Based Hierarchical Multihop Routing Protocol for WSNs†has been proposed which uses Shannon channel capacity model ‘C’ and neighbor node distance to choose the best neighbor node; the chosen neighbor node will be capable of transmitting data with high baud rate, thereby increasing the throughput of the network. Further, the proposed model also increases the lifetime of the network as the nearest neighbor node will be chosen for the data transfer which saves the energy of the sensor node. The proposed algorithm is compared against the LEACH routing protocol and multihop LEACH protocol and is implemented in MATLAB. The quantitative and qualitative analysis of the simulation results depicts that the proposed algorithm performs better against the parameters remaining energy of the sensor nodes, network lifetime, and data throughput when compared to LEACH and multihop LEACH protocols. © 2020, Springer Nature Singapore Pte Ltd.Item Improved Harmony Search Algorithm for Multihop Routing in Wireless Sensor Networks(Pleiades Publishing, 2022) Sowmya, G.V.; Manjappa, M.Abstract: Energy efficiency is critical for prolonging the network lifetime of Wireless Sensor Network (WSN), and is the most important objective for any routing algorithm for WSN. In this article authors have proposed a Multihop harmony search algorithm for WSN with two objectives, first being increasing the throughput of the network and second being optimizing the energy consumption of the sensor nodes and thereby prolonging the lifetime of network. Finding the goodness of the communication channel/path is quite important. Sometimes, though the channel capacity is more, fewer amounts of data may be transmitted in the channel resulting in under utilization of the resources; and other times, though the channel capacity is less, more data may be dumped into the channel resulting in channel congestion and less output. Thus, if the goodness of the communication channel is known in advance, then it is easy for the algorithms to decide the upper bound of the channel and can have a congestion free and error free information transmission. Thus, the proposed algorithm employ Shannon channel capacity ‘C’ (baud rate) for finding the best next hop and the same is used for initialization of Harmony Memory. An effective local search strategy is also proposed to strengthen the local harmony search ability so that the convergence speed and the accuracy of routing algorithm is improved. Finally, an objective function model is developed by taking path length, energy consumption, and residual energy in to consideration. The proposed algorithm is compared with existing Multihop LEACH, BRM (Baud rate based Multihop routing protocol) and EEHSBR (Energy Efficient Harmony Search Based Routing) algorithm for the quantitative and qualitative analysis. The simulation results reveal that the proposed algorithm performs better than the considered algorithms in terms of network lifetime, throughput and energy consumption. © 2022, Pleiades Publishing, Ltd.