Papers by Sumedha Sirsikar
Lecture notes on data engineering and communications technologies, Dec 21, 2018
In recent years Mobile Wireless Sensor Networks have observed a substantial increase in the use o... more In recent years Mobile Wireless Sensor Networks have observed a substantial increase in the use of specific applications like surveillance, military applications, disaster management, wildlife monitoring, etc. The wireless nodes are small electronic devices embedded with various sensors to perform the given tasks. These sensor nodes are provided with a limited battery power which is a big constraint for the performance of the network in unattended environments. Also, mobility affects the battery life of the nodes to a great extent. Thus, it is necessary to design protocols to make the efficient use of available energy in the nodes and to acquire complete operability. This problem can be solved to some extent by clustering of the sensor nodes. This paper is a study about constraints of WSN and clustering techniques used for forming the network are presented.
Bookmarks Related papers MentionsView impact
Lecture notes in networks and systems, Oct 24, 2017
Sensor network is made up of a large number of sensor nodes for communication. Some nodes can wor... more Sensor network is made up of a large number of sensor nodes for communication. Some nodes can work as a gateway which transmits data to the sink. These nodes are considered as a bottleneck in multi-hop networks because they send data collected from other nodes, and hence it drains their energy quickly. This problem is known as Hot Spot problem. So, for balancing the energy throughout the network, sink and node mobility can be used. A mobile sink could collect data without the need of gateway, and hence the problem of a bottleneck in the multi-hop network can be minimized. Along with the sink, sensor nodes also can be made mobile. Energy efficiency of WSN is achieved by using mobile sensors and mobile sink with enhanced coverage, and better channel capacity. There are various routing protocols to reduce energy consumption in a mobile WSN. This review paper mainly concentrates on the study of different protocols that are used for efficient energy consumption using the mobile sink and mobile sensor nodes.
Bookmarks Related papers MentionsView impact
A critical problem to gather data in Wireless Sensor Network (WSN) is energy hole. Sensor nodes t... more A critical problem to gather data in Wireless Sensor Network (WSN) is energy hole. Sensor nodes transmit their data towards the static sink in a multi-hop manner. Sensor near the static sink contains all data of other sensors and its own data and thus it drains their energy very fast. So balancing energy throughout the network is important. Efficient utilization of energy is the main objective in WSN for maximization of a network's lifetime. For reducing the energy-hole problem in WSN a mobile sink approach is used. Mobility in WSN contains movement of the node around the network which consumes energy efficiently. However frequently changing the sink topology, determines the energy consumption. Moving the sink node is an effective solution for improving the lifetime of WSN. There are different methods in the literature schedule sink movements and determine sink stay points. Here the mobility of sink node can be considered based on distance of the Cluster Head (CH). Here mobile sink node checks the distance from the all CHs and moves the mobile sink to less distance CH. It also finds out the intersection points of two CHs. Depending on the intersection points mobile sink will move in between and collect data from the both CHs. Hence using this approach mobility will reduce and efficiently consumes more energy in network.
Bookmarks Related papers MentionsView impact
Advances in intelligent systems and computing, Aug 24, 2016
Bookmarks Related papers MentionsView impact
Smart innovation, systems and technologies, Aug 8, 2017
Self-Organized Wireless Sensor Network (SOWSN) is a system of sensor nodes that takes global deci... more Self-Organized Wireless Sensor Network (SOWSN) is a system of sensor nodes that takes global decisions through local interactions without involvement of any central entity. Wireless sensor nodes have constrained processing capability and energy. The key characteristic used to evaluate performance of Wireless Sensor Network (WSN) is its lifetime which depends on residual energy of nodes; hence the major challenge in WSN is the efficient use of available energy. Node clustering saves energy and also shows self-organization because global decision like Cluster Head (CH) selection is taken through mutual communication between nodes. In this paper, a new clustering method based on self-organization is implemented to boost lifetime of WSN. Sensor network is divided into regions. Cluster formation relies on Residual Energy (RE) and nearest Distance (D) from CH. Node with highest residual energy becomes CH. Rest nodes join the nearest CH. Clusters are broken when residual energy of CH falls below threshold energy; causing the sensor network to get self-organized into new clusters. RED also focuses to solve the energy hole problem caused due to higher energy consumption by CHs near Sink Node or Base Station (BS).
Bookmarks Related papers MentionsView impact
Energy consumption affects Wireless Sensor Networks (WSN) lifetime and may cause network degradat... more Energy consumption affects Wireless Sensor Networks (WSN) lifetime and may cause network degradation. Communication distance between the sensor nodes and base station affects network energy. The more communication distance between two nodes the more energy consumed. Clustering technique is used to reduce the energy consumption in the wireless data transmission. To develop an energy-efficient system using clustering, there are three requirements. First, to determine the optimum number of sensor nodes in a specific cluster, Second, to find the optimal number of clusters in the network and the third is to determine the correct position of Cluster Head (CH) in a particular cluster. Selecting an optimal number of clusters in WSNs gives greater improvement in system scalability, increases energy efficiency, and enhances network lifetime, in the network. For a large WSN lifetime of network depends on the cluster diameter and number of hops. The energy cost of network is directly proportional to the number of clusters. Clustering technique balances the load distribution in network and reduces traffic transmission.
Bookmarks Related papers MentionsView impact
Lecture notes in electrical engineering, 2022
Bookmarks Related papers MentionsView impact
Lately, many creative people are using Crowdfund-ing to raise money for their ideas through the u... more Lately, many creative people are using Crowdfund-ing to raise money for their ideas through the use of an online platform. The use of third-party middlemen who cannot guarantee the investor’s money and the lack of investor control over how their money is used are two issues with the current crowdfunding approach. On the other hand, blockchain technology is a safe, trustworthy , and decentralized network that has become highly popular across many varieties of organizations due to its effectiveness when compared to more traditional ways. However, older techniques have a lot of issues and challenges because of their complex and less secure networks. We can address and avoid these issues if we start incorporating blockchain technology. Blockchain technology can be used to address these problems since it provides benefits including increased security, transparency, efficiency, and reduced fraud risk. Here, we propose a new crowdfunding platform based on blockchain innovation that provide...
Bookmarks Related papers MentionsView impact
A critical problem to gather data in Wireless Sensor Network (WSN) is energy hole. Sensor nodes t... more A critical problem to gather data in Wireless Sensor Network (WSN) is energy hole. Sensor nodes transmit their data towards the static sink in a multi-hop manner. Sensor near the static sink contains all data of other sensors and its own data and thus it drains their energy very fast. So balancing energy throughout the network is important. Efficient utilization of energy is the main objective in WSN for maximization of a network's lifetime. For reducing the energy-hole problem in WSN a mobile sink approach is used. Mobility in WSN contains movement of the node around the network which consumes energy efficiently. However frequently changing the sink topology, determines the energy consumption. Moving the sink node is an effective solution for improving the lifetime of WSN. There are different methods in the literature schedule sink movements and determine sink stay points. Here the mobility of sink node can be considered based on distance of the Cluster Head (CH). Here mobile s...
Bookmarks Related papers MentionsView impact
2014 IEEE Global Conference on Wireless Computing & Networking (GCWCN), 2014
Wireless Sensor Network (WSN) is a network of sensor nodes that can sense the environment and sen... more Wireless Sensor Network (WSN) is a network of sensor nodes that can sense the environment and send the information through wireless links to a sink. Wireless sensor nodes possess limited processing capability, storage and energy resources. The existence of sensor network depends on the life of sensor nodes i.e. ultimately on the energy consumption during its operation. Thus, in WSN, the efficient use of energy resources is very much necessary. Clustering is one of the approaches for energy saving in WSN. A cluster is a group of sensor nodes with one central entity named Cluster Head (CH). In this article, a new way of clustering for CH selection and cluster formation in WSNs is proposed; in which sensor network is divided into zones as per geographic locations of nodes. Clusters are formed within the zones by taking into account the residual energy of nodes and node distance. All cluster members send the sensed data to their respective CH. Hence, CH consumes more energy as it processes the collected data before forwarding it to Base Station (BS). Dropping of cluster head's residual energy below threshold value initiates cluster reformation. Performance analysis and simulation results are given with variations in number of nodes and transmission range. The obtained results show good performance of our algorithm in terms of reduced energy consumption, increased network lifetime and scalability of the network.
Bookmarks Related papers MentionsView impact
Proceedings of the CUBE International Information Technology Conference on - CUBE '12, 2012
ABSTRACT The Network performance optimization, configuration depends on proper design of complete... more ABSTRACT The Network performance optimization, configuration depends on proper design of complete network. The network layer is primarily concerned with routing. The packets may cross many networks to reach the destination during this process. To achieve its goals, the network layer must know about the topology, communication subnets and the version of the IP addresses used. The present version of IP is version 4 which must communicate with the next generation of IP addresses which is version 6. As both the ...
Bookmarks Related papers MentionsView impact
2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies, 2014
ABSTRACT
Bookmarks Related papers MentionsView impact
2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies, 2014
ABSTRACT
Bookmarks Related papers MentionsView impact
2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies, 2014
In wireless sensor networks (WSN) there is a need to have self-formation capabilities into an exi... more In wireless sensor networks (WSN) there is a need to have self-formation capabilities into an existing variety of composite computing systems. In view of the fact that functionality is distributed over a number of components in a remote area, it would be an undefeatable task to accumulate and instruct each of them individually. All network entities should behave in a self-organized manner that means the global behavior emerges through their operation on local information and direct and/or indirect mutual interaction. Based on the all characteristics, we propose architecture of self-organizing wireless sensor networks (SOWSN). The motivation to develop this model is multifold. There is need to study various parameters of system that are required by the WSN to be self-organized. Hence we have come up with a model that forms a base for self-organization of WSN. This model provides ability to recognize and study significant parameters of a system along with its essential metrics.
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Wireless Sensor Networks (WSN) consisting of small number of sensor nodes. These sensor nodes are... more Wireless Sensor Networks (WSN) consisting of small number of sensor nodes. These sensor nodes are deployed in a region to sense the information. As the sensor nodes deployed in the same region sense similar information and sends it to sink node. This phenomenon leads to redundancy at sink node. Sink node wastes most of its energy in processing redundant packets. To save the energy of nodes processing data packets in order to prolong the network lifetime, there is a need to eliminate redundancy. Data aggregation is a process which eliminates redundant data packets in the network. The process in which intermediate node receives multiple input packets performs aggregation and produce single output packet in the network is called Data Aggregation. But redundancy sustains reliability. Therefore there is need to eliminate redundant packets to an adequate level so as to maintain reliability. In this paper we introduced one data aggregation technique which performs data aggregation at two d...
Bookmarks Related papers MentionsView impact
The Network performance optimization, configuration depends on proper design of complete network.... more The Network performance optimization, configuration depends on proper design of complete network. The network layer is concerned with getting packets from source all the way to destination. The packets may cross many networks to reach the destination. To achieve its goals, the network layer must know about the topology, communication subnets and the version of the IP addresses used. Considering the present scenario, we are using IP v4 which needs to communicate with IP v6. The present networks are using only IP version 4 it is necessary to design and deploy certain methods which will help in communicating with the future generation of IP addresses. The present applications are still using IP version 4 to communicate and hence it is necessary to securely migrate them with the latest IP version. We present a secure tunneling mechanism that has some advantages over the other models. The model discussed here can be used to establish hybrid communications between the two different versio...
Bookmarks Related papers MentionsView impact
Skin detection is the process of finding skin-colored pixels and regions in an image or a video. ... more Skin detection is the process of finding skin-colored pixels and regions in an image or a video. This process is typically used as a preprocessing step to find regions that potentially have human faces and limbs in images. Several computer vision approaches have been developed for skin detection. Skin detectors typically transform a given pixel into an appropriate color space and then use a skin classifier to label the pixel whether it is a skin or a non-skin pixel. In this paper, an efficient method for skin color segmentation on color photos is implemented. This
Bookmarks Related papers MentionsView impact
A B S T R A C T Use of wireless sensor network has increased to monitor disaster management and i... more A B S T R A C T Use of wireless sensor network has increased to monitor disaster management and industrial automation. For these applications sensor have to be grouped together to operate autonomously in the network. To support high scalability and better data aggregation, sensor nodes are often grouped into disjoint, non-overlapping subsets called clusters. Clusters create hierarchical WSNs which combine efficient utilization of limited resources of sensor nodes and hence prolongs network lifetime. The objective of this paper is to study various clustering algorithms for WSN. This paper presents a taxonomy of clustering algorithms based on three different methodology. It also includes advantages and limitations of these clustering algorithms.
Bookmarks Related papers MentionsView impact
Self-Organized Wireless Sensor Network (SOWSN) is a system of sensor nodes that takes global deci... more Self-Organized Wireless Sensor Network (SOWSN) is a system of sensor nodes that takes global decisions through local interactions without involvement of any central entity. Wireless sensor nodes have constrained processing capability and energy. The key characteristic used to evaluate performance of Wireless Sensor Network (WSN) is its lifetime which depends on residual energy of nodes; hence the major challenge in WSN is the efficient use of available energy. Node clustering saves energy and also shows self-organization because global decision like Cluster Head (CH) selection is taken through mutual communication between nodes. In this paper, a new clustering method based on self-organization is implemented to boost lifetime of WSN. Sensor network is divided into regions. Cluster formation relies on Residual Energy (RE) and nearest Distance (D) from CH. Node with highest residual energy becomes CH. Rest nodes join the nearest CH. Clusters are broken when residual energy of CH falls...
Bookmarks Related papers MentionsView impact
Uploads
Papers by Sumedha Sirsikar