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Author

Venkateswarlu K. Muni

Bio: Venkateswarlu K. Muni is an academic researcher. The author has contributed to research in topics: Wireless network & Heterogeneous network. The author has an hindex of 1, co-authored 1 publications receiving 12 citations.

Papers
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Proceedings ArticleDOI
21 Oct 2013
TL;DR: A novel network partitioning mechanism is proposed here, to build energy efficient wireless sensor networks and elevates the average lifetime of sensor nodes.
Abstract: The easy use of Wireless Sensor Networks has attracted applications from various fields. Day to day rise in wireless sensor network applications introduce new challenges to researchers. One such critical challenge is, optimal usage of network resources. Energy is one of the most important concerns in wireless sensor networks. Even though there has been an extensive research work done on this issue, the problem is still open with new requirements emerging every day. Exchange of control information consumes most of network resources to carry out network operations. An attempt has been made in the recent past to avoid this wastage of resources, by exploiting the properties of resource abundant sources in the network. Base station is one such source in wireless sensor network. The base station is resource abundant and less constrained network component in wireless sensor networks. The recent research works have focused more in this direction to explore the benefits of base station characteristics. In this perspective, a novel network partitioning mechanism is proposed here, to build energy efficient wireless sensor networks. The system proposed, distributes network load uniformly with little control overhead on energy resources in the network. The uniform distribution of sensor nodes in every part helps the network to distribute the load uniformly. From simulation results, it is noted that, the proposed system elevates the average lifetime of sensor nodes.

12 citations


Cited by
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Journal ArticleDOI
TL;DR: A novel network organization scheme, energy-efficient edge-based network partitioning scheme, to organize sensor nodes into clusters of equal size, and a cluster-based routing algorithm, called zone- based routing protocol (ZBRP), for elevating sensor network lifetime.
Abstract: Extensive research happening across the globe witnessed the importance of Wireless Sensor Network in the present day application world. In the recent past, various routing algorithms have been proposed to elevate WSN network lifetime. Clustering mechanism is highly successful in conserving energy resources for network activities and has become promising field for researches. However, the problem of unbalanced energy consumption is still open because the cluster head activities are tightly coupled with role and location of a particular node in the network. Several unequal clustering algorithms are proposed to solve this wireless sensor network multihop hot spot problem. Current unequal clustering mechanisms consider only intra- and intercluster communication cost. Proper organization of wireless sensor network into clusters enables efficient utilization of limited resources and enhances lifetime of deployed sensor nodes. This paper considers a novel network organization scheme, energy-efficient edge-based network partitioning scheme, to organize sensor nodes into clusters of equal size. Also, it proposes a cluster-based routing algorithm, called zone-based routing protocol (ZBRP), for elevating sensor network lifetime. Experimental results show that ZBRP out-performs interims of network lifetime and energy conservation with its uniform energy consumption among the cluster heads.

21 citations

Journal ArticleDOI
TL;DR: This paper proposes a novel scheme, “Energy Efficient Adaptive Scheduling Scheme (EASS) for Mesh Grid Wireless Sensor Networks”, which aims to avoid link disconnection and vanish redundant data packets generation in embedded networks.

9 citations

Proceedings ArticleDOI
Jing-Feng Tu1, Yi Yang1, Caihong Li1, Anping He1, Lian Li1 
13 Dec 2014
TL;DR: This article proposed an intelligent disaster forecasting system, which guarantees nodes working and sleeping periodically, and extends the node's lifetime (more than 2 years), while keeping a reliable service simultaneously.
Abstract: Without the applicable methods of forecasting the outbreak of debris flows in a wide area as well as long time, wireless sensor networks (WSN) of monitoring debris flow are essential for protecting safety and property of human. In nowadays, a common and key consideration of the network would be the energy efficiency, since both of the soil moisture (SM) sensor and the radio are power-hungry, meanwhile, the node requires to react in several months by a battery power. In this article, we proposed an intelligent disaster forecasting system, which guarantees nodes working and sleeping periodically. With the system, the nodes are implemented by very low power consumption in sleep mode, the whole network reacts changes of environment with variable operating frequency. Since there is no proper wake-up sensor with ultra-low-power in the scene of debris flows, we adjust the sampling rate of node in terms of changes of the environment, which could be predicted by the Wavelet neural network. With these solutions, we extend the node's lifetime (more than 2 years), while keeping a reliable service simultaneously.

6 citations

Journal ArticleDOI
TL;DR: The following paper proposes a clustering procedure to reduce energy consumption, reduce delay in communication and improve the connectivity of the network, and aims to improve the performance and lifetime of thenetwork by improving the above mentioned parameters.
Abstract: Wireless sensor networks sense events, collect data and forward it to the infrastructural node, called sink, for further processing and assessment. The communication from sensor node to the sink is an energy consuming task. Clustering is one of the strategies to provide communication in the sensor network. Maintenance of the clusters and re-clustering are important to improve connectivity of the network. An efficient clustering protocol reduces the energy consumption in addition to providing connectivity and communication path, because energy is a scarce commodity in wireless sensor network. The following paper proposes a clustering procedure to reduce energy consumption, reduce delay in communication and improve the connectivity of the network. The proposed algorithm aims to improve the performance and lifetime of the network by improving the above mentioned parameters.

6 citations

Proceedings ArticleDOI
19 Mar 2015
TL;DR: The Advance SET-IBS protocol for encrypting the data on the sensor node is proposed and a light weight Enhanced Lossless Entropy Compression (LEC) algorithm will be used for reducing size of data in the Sensor Network.
Abstract: In WSN the amount of data transmission has become an important issue. New technology of compressive sensing (CS) in sensor networks new idea for data collection and target localization are research areas in sensor networks. Compressive Sensing (CS) minimize the number of data transmissions and balance of the traffic load throughout networks. Afterall, by using pure compressive sensing the total number of transmissions for data collection is still high. To minimize the number of transmissions in sensor networks, hybrid method of Compressive Sensing (CS) is used. Further to provide data compression in WSN a light weight Enhanced Lossless Entropy Compression (LEC) algorithm will be used for reducing size of data in the Sensor Network. Security is the major issue in the Sensor Network and to make the data secure the Advance Secured and Efficient Transmission-Identity SET-IBS protocol will be used. It is a light weight algorithm which consumes less energy while encrypting and decrypting the data. This encryption takes less energy and therefore it is helpful to make the WSN efficient. In this project the main focus is on optimization of energy in terms of lightweight security and compression techniques which reduces the complexity of Wireless Sensor Network the Advance SET-IBS protocol for encrypting the data on the sensor node is proposed.

4 citations