Implementing OMA RESTful location services in wireless sensor environments

Wireless Sensor Networks have highly scattered, self-organized nodes that can detect, compute, and transmit the information collected at different nodes in the network. These nodes spread over a specific topographical zone. They enhance the instantaneous formation of the network. Knowing the current location of a node is a crucial and cardinal requirement for any application promulgated in WSN. Once the locations of the sensor nodes can be precisely positioned, there are ample of probabilities for the data transmission of the network to be excelling inefficiency. Location responsiveness enables essential network features such as coverage, routing, deployment, topology control, clustering, boundary discovery, target tracking, rescue, and other location services. Hence, WSN localization has become a breath and backbone arena that ostentatiously attracted significant research interest. Our work traces a compilation of all the dynamic research in sensor networks on localization techniques and emanates eminent understanding of it.

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Principles of Wireless Sensor Networks

10.1017/cbo9781139030960 ◽

2012 ◽

Cited By ~ 1

Author(s):

Mohammad S. Obaidat ◽

Sudip Misra

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Wireless Sensor

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Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189028 ◽

2020 ◽

Vol 39 (4) ◽

pp. 5449-5458

Author(s):

A. Arokiaraj Jovith ◽

S.V. Kasmir Raja ◽

A. Razia Sulthana

Keyword(s):

Energy Consumption ◽

Large Scale ◽

Control Parameter ◽

Interference Mitigation ◽

Wireless Sensor ◽

Point To Point ◽

A Minor ◽

Two Stages ◽

Time Division ◽

And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

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Energy Efficiency Analysis in ERA using NFL-BA Algorithm

International Journal of Scientific Research in Science and Technology ◽

10.32628/ijsrst207477 ◽

2020 ◽

pp. 340-348

Author(s):

Palky Mehta ◽

H. L. Sharma

Keyword(s):

Cluster Head ◽

Vital Role ◽

Wireless Sensor ◽

Energy Usage ◽

Cluster Heads ◽

Comparison Results ◽

Current Scenario ◽

Energy Efficiency Analysis ◽

Selection Of

In the current scenario of Wireless Sensor Network (WSN), power consumption is the major issue associated with nodes in WSN. LEACH technique plays a vital role of clustering in WSN and reduces the energy usage effectively. But LEACH has its own limitation in order to search cluster head nodes which are randomly distributed over the network. In this paper, ERA-NFL- BA algorithm is being proposed for selects the cluster heads in WSN. This algorithm help in selection of cluster heads can freely transform from global search to local search. At the end, a comparison has been done with earlier researcher using protocol ERA-NFL, which clearly shown that proposed Algorithm is best suited and from comparison results that ERA-NFL-BA has given better performance.

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A Survey on Hierarchical Cluster Based Secure Routing Protocols and Key Management Schemes in Wireless Sensor Networks

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit183810 ◽

2018 ◽

pp. 18-26

Author(s):

Yugashree Bhadane ◽

Pooja Kadam

Keyword(s):

Routing Protocol ◽

Routing Protocols ◽

Key Management ◽

Energy Efficient ◽

Base Station ◽

Secure Routing ◽

Sensor Nodes ◽

Wireless Sensor ◽

Management Schemes ◽

Cluster Based Routing

Now days, wireless technology is one of the center of attention for users and researchers. Wireless network is a network having large number of sensor nodes and hence called as “Wireless Sensor Network (WSN)”. WSN monitors and senses the environment of targeted area. The sensor nodes in WSN transmit data to the base station depending on the application. These sensor nodes communicate with each other and routing is selected on the basis of routing protocols which are application specific. Based on network structure, routing protocols in WSN can be divided into two categories: flat routing, hierarchical or cluster based routing, location based routing. Out of these, hierarchical or cluster based routing is becoming an active branch of routing technology in WSN. To allow base station to receive unaltered or original data, routing protocol should be energy-efficient and secure. To fulfill this, Hierarchical or Cluster base routing protocol for WSN is the most energy-efficient among other routing protocols. Hence, in this paper, we present a survey on different hierarchical clustered routing techniques for WSN. We also present the key management schemes to provide security in WSN. Further we study and compare secure hierarchical routing protocols based on various criteria.

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