Journal Articles
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/19884
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Item Simplified and Improved Analytical Hierarchy Process Aid for Selecting Candidate Network in an Overlay Heterogeneous Networks(Kluwer Academic Publishers barbara.b.bertram@gsk.com, 2015) Chandavarkar, B.R.; Guddeti, G.R.M.Analytical hierarchy process (AHP) is one of the pairwise comparison, attributes weight calculation approach of multiple attribute decision making aid to select the candidate network for seamless handoff in an overlay heterogeneous network. The main challenging issue in AHP is manually computing the reciprocal matrix results in an inconsistency indicated by the consistency ratio >0.1. This paper proposes a simplified and improved AHP (SI-AHP), which accepts the perceived one-dimensional linguistic values of the attributes from the decision maker. Further, SI-AHP is used to automatically compute the reciprocal matrix for the attribute weights calculation with the minimum involvement of the decision maker resulting in reduced computational time and improved consistency. The consistency ratio of SI-AHP is further improved by deriving the reciprocal matrix of pairwise comparison of any one of the attribute to others. Using the MATLAB simulations, the proposed SI-AHP is evaluated for the consistency ratio of voice and download traffic and also for 78,125 different combinations of one-dimensional linguistic values of the attributes. SI-AHP’s weight calculated for the decision attributes is used in the multiple attribute decision making approach for selecting the candidate network in an overlay heterogeneous network. © 2015, Springer Science+Business Media New York.Item Simplified and improved multiple attributes alternate ranking method for vertical handover decision in heterogeneous wireless networks(Elsevier, 2016) Chandavarkar, B.R.; Guddeti, G.R.Multiple Attribute Decision Making (MADM) is one of the best candidate network selection methods used for Vertical Handover Decision (VHD) in heterogeneous wireless networks (4G). Selection of the network in MADM is predominantly decided by two steps, i.e., attribute normalization and weight calculation. This dependency in MADM results in an unreliable network selection for handover, and in a rank reversal (abnormality) problem during the removal and insertion of the network in the network selection list. Hence, this paper proposes a Simplified and Improved Multiple Attributes Alternate Ranking method referred to as SI-MAAR to eliminate the attribute normalization and weight calculation methods, thereby solving the rank reversal problem. Further, the MATLAB simulation results demonstrate that the proposed SI-MAAR method outperforms MADM methods such as TOPSIS, SAW, MEW and GRA with respect to the network selection reliability and rank reversal problems. © 2015 Elsevier B.V. All rights reserved.Item E-Var: Enhanced void avoidance routing algorithm for underwater acoustic sensor networks(Institution of Engineering and Technology kvukmirovic@theiet.org, 2019) Nazareth, P.; Chandavarkar, B.R.Underwater acoustic sensor networks (UASNs) have gained attention among researchers due to its various aquatic applications. On the other hand, UASNs encounter many research challenges due to its inherent characteristics such as high propagation delay, limited bandwidth, high bit-error-rate, limited energy, and communication void during routing. These limitations severely affect the performance of delay-sensitive and reliable applications of UASNs. The primary objective of this study is to address the communication void during routing. Various methods, such as backward–forwarding, passive participation, flooding, heuristic, and transmission power adjustments, are proposed to address the communication void during routing. The major drawbacks of these methods are void as a part of routing, loops, unreachable data to the sink, and more number of transmission of duplicate packets. This study proposes a void avoidance routing algorithm referred to as enhanced-void avoidance routing (E-VAR) using an idea of void awareness among the nodes. The E-VAR inhibits the participation of void in routing, thereby resulting in better performance in comparison with the state-of-the-art. Through MATLAB simulations, E-VAR is compared with interference-aware routing and state-of-the-art backward–forwarding, in terms of the number of nodes reachable and unreachable due to looping to the sink, average hop-count, and distance. © The Institution of Engineering and Technology 2019.Item Cluster-Based Multi-attribute Routing Protocol for Underwater Acoustic Sensor Networks(Springer, 2024) Nazareth, P.; Chandavarkar, B.R.Underwater Acoustic Sensor Networks play a significant role in various underwater applications. There are several challenges in underwater communications like high bit-error-rate, low bandwidth, high energy consumption, void-node during routing, etc. Handling void-node during routing is a major challenge in underwater routing. There are well-known void-handling protocols like Energy-efficient Void-Aware Geographic Routing protocol, HydroCast, etc. However, these routing protocols require all neighboring nodes must be a part of the cluster which increases the overhead on clustering, or void-node has a part of the routing. This paper proposes an underwater routing protocol referred to as Cluster-based Multi-Attribute Routing (CMAR) to overcome these issues. It is a sender-based, opportunistic underwater routing protocol. CMAR uses the Technique for Order of Preference by Similarity to Ideal Solution to evaluate the suitability of the neighboring nodes and the basis for clustering process initialization. Through MATLAB simulations, the performance of the CMAR is compared with HydroCast in terms of the number of nodes selected in the forwarding set, number of clusters formed, number of times void-node becomes part of routing and transmission reliability. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.