Loading...

A Multi-Weight Based Clustering Algorithm for Mobility Wireless Sensor Network

Sepehriyan, Ali | 2015

579 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47666 (52)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin
  7. Abstract:
  8. Wireless sensor network (WSN) is a wireless network composed of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions data such as temperature, pressure, humidity, and so on[1-4]. In recently years, WSN has been applied to widely various areas. Since sensors are equipped with small batteries, which are costly if not impossible to recharge or replace, sensor network operations must be energy efficient in order to maximize the network lifetime. Given the power constraints in sensors, investigations into routing protocols in order to extend the collective WSN lifetime is one of the major objectives of the sensor network research.Clustering in WSNs is a technique that can expand the network's lifetime of the whole network through data aggregation at the cluster head. In clustering networks, sensor nodes are partitioned into smaller clusters and a cluster head(CH) for each cluster is elected. Sensor nodes in the clusters transmit their data to the respective CH. Afterward, the CH aggregates data and send them to a central Base Station(BS)[2].The energy supply of nodes will be limited strictly in the wireless sensor network.In this thesis Multi-weight Based Clustering Algorithm (MWBCA) for mobility wireless sensor network has been used to overcome the energy limitation and to imbalance energy consumption through sensor node
  9. Keywords:
  10. Wireless Sensor Network ; Clustering ; Routing Protocol

 Digital Object List

 Bookmark

No TOC