Analytical Modeling and Mitigation Techniques for the Energy Hole

In this paper we investigate the problem of uneven energy consumptions in a large class of many-to-one sensor networks. In a many-to-one sensor network, all sensor nodes generate constant bit rate (CBR) data and send them to a single sink via multihop transmissions. This type of sensor networks has many potential applications such as environmental monitoring and data gathering. Based on the observation that sensor nodes sitting around the sink need to relay more traffic compared to other nodes in outer sub-regions, our analysis verifies that nodes in inner rings suffer much faster energy consumption rates (ECR) and thus have much shorter expected lifetime. We term this phenomenon of uneven energy consumption rates as the “energy hole ” problem, which may result in severe consequences such as early dysfunction of the entire network. We proposed an analytical modeling for this problem, which can help understand the relevance of different factors on energy consumption rate. Using this model, we study the effectiveness of several existing approaches towards mitigating the “energy hole ” problem, including deployment assistance, traffic compression and aggregation. We have used simulation results to validate our analysis. Index Terms Energy hole problem, many-to-one communication model, sensor networks, uneven energy consumption rate. I