S. S. Jondhale

Bio: S. S. Jondhale is an academic researcher. The author has contributed to research in topics: Response time & Wireless sensor network. The author has an hindex of 1, co-authored 1 publications receiving 9 citations.

A Survey on Query Response Time Optimization Approaches for Reliable Data Communication in Wireless Sensor Network

Abstract: Wireless sensor network is an application specific network. There are various factors which affects reliability in Wireless Sensor Network some of them are energy consumption, high packet loss, congestion, and large response time. There are different parameters, which affects query response time. Whenever Sink (Base Station) needs data, it sends query to source node and node response back to sink. In Wireless Sensor Networks (WSNs) query response time depends on number of parameters like data caching, routing algorithm, node deployment, topology, data availability, query aggregation, query processing, packet loss and congestion. This paper presents a survey of various approaches which help us to minimize query response time mainly for wireless sensor networks.

Cross domain-based ontology construction via Jaccard Semantic Similarity with hybrid optimization model

Abstract: Semantic web technology seems to be in the infant stage as only little efforts have been taken on ontology construction with cross-domain application. This paper intends to take an effort on a new workspace, in which the ontology construction model under cross-domain application is performed. The core concern of this work is on two decision-making process namely data filtering and data annotation. Certain process is followed in this work: (i) Preprocessing (ii) Proposed Jaccard Similarity Evaluation (iii) Data filtering and Outlier Detection (iv) Semantic annotation and clustering. More particularly, data filtering is performed based on the evaluated similarity function. The outliers are identified and grouped separately. The data annotation is performed based on the semantics and thereby the clustering process takes place to form the ontology precisely. This clustering process obviously relies to the optimization crisis as the optimal centroid selection becomes the greatest issue. In order to solve this, this paper extends with the introduction of a hybrid algorithm named Circling Insisted-Rider Optimization Algorithm (CI-ROA), which hybrids the concept of Whale Optimization Algorithm (WOA) and Rider Optimization Algorithm (ROA), respectively. Finally, the performance of proposed work is compared and proved over other state-of-the-art models.

Ontology Construction from Cross Domain Customer Reviews using Expectation Maximization and Semantic Similarity

Abstract: Recently, researchers are focusing more attention on cross-domain customer review based ontology construction. It seems very little efforts have been taken to construct cross-domain application ontology. Online reviews help customers to get product information in detail. Bringing the reviews of same product from different e-commerce platform into single platform will enable customers make well informed decision. Customers may purchase online product by comparing reviews as manual comparison of reviews is too difficult. In future very large amount of cross-domain applications would be connected to make smart shopping possible. In this paper, two major e-commerce portals, Amazon and Flipkart’s reviews are collected, processed and analyzed using expectation maximization (EM) algorithm and semantic similarity. Next, precision and recall, ontology construction and execution time are calculated using state of art models.

Multi Token Based Location Sharing for Multi UAV Systems

Abstract: Today, Unmanned Aerial Vehicles (UAVs) are widely used in many different areas of military and civilian applications. Developments in the UAV technology and cheapening of the cost provide opportunity to widespread use of multiple UAVs. Communication is the most important problem in the multi-UAV systems. Flying Ad hoc Network (FANET), is the most significant development method for the solution of communication problem in multi-UAV systems. It is necessary to ensure the realization of coordinated flight of UAVs in FANET. UAVs need to know the position information of each other to also ensure coordination between themselves. Token packet usage is one of the solution to sharing of coordinated information. In this method, the exchange of information between UAVs is performed by circulating a token packet in FANET. The number of UAVs increases, the size of the token containing the location information of all UAVs will also increase. Because of this increase, token will complete its circulation in FANET in a long time. For this reason, after a certain number of UAV, one token will not be sufficient. In multi-UAV systems, UAVs can learn the details of each position with multiple token circulation. In existing studies, it was assumed that UAVs move with constant topology. In addition to this, in these studies there has been assumed that 100% of the packets transmitted. In this study, multiple token structure has been implemented for UAVs acting with a dynamic topology. Also different bit error rate (BER) values are discussed in the case of the package could not be sent. In these cases, the resend packet is provided and these cases effect on the results is observed. Thus, the use of multiple tokens structure in the multi-UAV systems is obtained with more accurate results.

APDA: Adaptive pruning & data aggregation algorithms for query based wireless sensor networks

Abstract: The research contribution presents data reporting using the adaptive dynamic pruning and data aggregation algorithms for query based wireless sensor network called as APDA. The aim of APDA is to reduce the network communication overheads through dynamic sub-network pruning to save the energy, minimize the unnecessary extra non relevant data transmissions. We construct tree rooted at base station BS. Mainly, proposed work includes three algorithms: 1) network formation using MST, 2) data aggregation using normalization, and 3) pruning technique with multi-cast communication. Aggregation tree includes dominator nodes (DN) which perform certain operations like data aggregation, multicast communication and pruning the sub network using normalized values in the range of 0 to 1 and at lower layer i.e. Inferior nodes (IN) sense the requested information and reports to its upstream DN nodes. The objective of APDA is to prolong the network lifetime and reduce query latency while reducing the communication runtime overheads. The solutions are well demonstrated through extensive simulations to prove the validity of proposed approaches to minimize the query response time and to get in time delivery of requested data.

Sharing Location Information in Multi-UAV Systems by Common Channel Multi-Token Circulation Method in FANETs

Abstract: Unmanned Aerial Vehicle (UAV) technology is being used increasingly for military and civilian purposes. The primary reason for this increase is that UAVs eliminate the risk to human life in difficult and dangerous missions, are cost effective, and easily are deployed. Developments in UAV technology and decreasing costs have increased UAV usage. However, when multiple UAVs are deployed, inter UAV communication becomes complicated. For this reason, communication in multi-UAV systems is the most important problem that needs to be solved. To enable communication among UAVs without infrastructure support, a Flying Ad Hoc Network (FANET) is used. A FANET provides UAVs to fly in tandem without colliding. To ensure coordinated flight, UAVs require the location information of other UAVs. In this study, we developed a common channel multi-token circulation protocol to share location information in multi-UAV systems that communicate using a FANET. The proposed method ensures that UAVs in multi-UAV systems know each other's coordinate information with minimum error.DOI: 10.5755/j01.eie.25.1.22738