Data Capacity Improvement of Wireless Sensor Networks Using Non-Uniform Sensor Distribution

By Jie Lian, Sagar Naik, Gordon B. Agnew. Int. J. Distributed Sens. Networks, 2006

299 citations recorded by the source corpus.

Energy conservation is an important design consideration for battery powered wireless sensor networks (WSNET). Energy constraint in WSNETs limits the total amount of sensed data (data capacity) received by sinks. In the commonly used static model of sensor networks with uniformly distributed homogenous sensors with a stationary sink, sensors close to the sink drain their energy much faster than sensors far away from the sink due to the unevenly distributed forwarding workloads among sensors. A major issue, which has not been adequately addressed so far, is the question of how sensor deployment governs the data capacity, and how to improve data capacity of WSNETs. In our previous work, we provided a simple analytical model to address this issue for one specific type of WSNETs. In this paper, we extend our previous work to address this issue for general WSNETs. In the extended static models, for large networks, we find that after the lifetime of a sensor network is over, there is a great amount of energy left unused, which can be up to 90% of the total initial energy. Thus, the static models with uniformly distributed homogenous sensors cannot effectively utilize their energy. This energy waste implies that the potential data capacity is much larger than the capacity achieved in these static models. To increase the total data capacity, we propose a non-uniform sensor distribution strategy. Simulation results show that, for large, dense WSNETs, the non-uniform sensor distribution strategy can increase the total data capacity by an order of magnitude.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2ee6c01e842cbfe3dca783c4911b8d7a93c05a82

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Guihai Chen
2. Sajal K. Das
3. Xiaobing Wu
4. Mao Ye
5. Chengfa Li
6. Jie Wu
7. Kwan-Wu Chin
8. Xuxun Liu

In Electrical and Electronic Engineering

1. Mao Ye
2. Guihai Chen
3. Jie Wu
4. Sajal K. Das
5. Chengfa Li
6. Kwan-Wu Chin
7. Xiaobing Wu

Citations in the corpus

• An Energy-Efficient Mobile-Sink Path Selection Strategy for Wireless Sensor Networks (2014, background): “Experimental results in [13] demonstrated that, if sensor nodes are distributed uniformly, up to 90% of residual energy is unused when the first sensor node dies.”
• Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution (2008, background): “Lian et al. [13] propose a nonuniform node distribution strategy to increase the network data capacity, defined as the amount of data received by the sink node.”
• An unequal cluster-based routing protocol in wireless sensor networks (2009, background): “For example, in homogenous sensor networks, additional sensor nodes can be deployed in the area near the base station as reservoirs of energy [ 17 ].”