Energy Efficiency Issues in Wireless Sensors Networks

Abstract

Abstract : This project provides a comprehensive solution to achieve high energy efficiency in wireless sensor networks. The following is some research highlights of the project. (1) Proposed a novel energy model for batteries and studied the effect of battery behavior on routing in wireless sensor networks. (2) Introduced the concept of battery-aware connected dominating set (BACDS) and given a distributed algorithm to construct the set. (3) Proposed power scheduling algorithms for densely deployed sensor networks to achieve energy efficiency. (4) Studied two-layered sensor networks and presented an on-line algorithm for finding energy efficient and collision-free polling schedules and load balancing algorithms. (5) Considered energy efficient sensor deployment in large scale unattended mobile sensor networks and presented a distributed, adaptive sensor deployment algorithm that maximizes the coverage area and reduces sensor movement. (6) Investigated energy-efficient data gathering in sensor networks with mobile data collectors and designed algorithms for planning the moving path of the mobile collector and balancing traffic load in the network. (7) Introduce multiple-input-multiple-output (MIMO) and space-division multiple access SDMA techniques to the data gathering in sensor networks to optimize the system performance. The research results of the project have been published in 11 journal papers and 26 refereed conference papers.