Providing Useful Data Reliably to Mobile Cloud Users from Random Wireless Sensor Network

Abstract

The integration of mobile cloud computing and wireless sensor network plays an important role in the field of research and industry. Data fetched from Wireless Sensor Network (WSN) are stored in the cloud and provides it to the mobile cloud users. This integration helps in providing data to users in the form of digitalization. To help the applications involving an integration of Mobile Cloud Computing (MCC)-Wireless Sensor Network, this paper finds the crucial things that influence the sensor data and WSN, and then propose a concept called Time based Priority Sleep Scheduling (TPSS). TPSS is divided into three parts 1. Based on the priority and time, wireless sensor network gateway should transmit the sensed data to cloud and 2. The algorithm used to save the battery consumption of mobile users in fetching data from the cloud is Priority Based Sleep Scheduling (PBSS); this provides data to users request based on the time slot. 3. Location Based Sleep Scheduling (LBSS) algorithm used to provide sensed data based on mobile cloud users location.

Real Time Universal Scalable Wireless Sensor Network for Environmental Monitoring Application

“…More so, to enable reliable detection of observed phenomena in real-life applications, thousands of nodes are usually installed throughout region of interest [4].However, nodes that are at a large distance from the base station will have poor connections to the base station [5] and these increases transmission power due to frequent retransmission [25]. Hence, a mesh topology network [24] is most suitable due to it scalability, selfconfiguration, self-healing and flexibility [5].The mesh topology also provides extension of network coverage without increasing transmission power or receive sensitivity, better reliability via route redundancy, easier network configuration and better device battery life due to fewer retransmissions [21].…”