Routing in the Vicinity of Multiple Holes in WSNs

In disaster management wireless sensor networks, routing holes may occur due to various reasons such as the presence of obstacles (e.g., lakes, rivers, mountains) or external forces (caused by fire, earthquake, flood, The traditional scheme for bypassing holes is to forward packets along the holes' perimeter. However, this scheme leads to two serious problems: data concentration around the hole boundaries and routing path enlargement. Recently, several approaches have been proposed to address these two problems, wherein a common idea is to form forbidden areas around the holes from which packets are kept to stay away. Unfortunately, most of the protocols proposed so far address only special cases where either the network contains only one hole or the sources and the destinations stay fairly far from the holes. In this paper, we focus on the general case where the network may contain multiple holes and the sources/destinations may stay in the vicinity of the holes. We then propose a hole bypassing protocol which can balance the traffic over the network while ensuring the constant stretch property of the routing path. The theoretical analysis proves that the routing path stretch of the proposed protocol can be controlled to be as small as $1+\epsilon$ (for any predefined $\epsilon\gt0$), and the simulation experiments show that our protocol strongly outperforms state-of-the-art protocols in terms of load balancing.

[1]  H. T. Kung,et al.  Load-balancing routing for wireless access networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[2]  Khanh-Van Nguyen,et al.  Load balanced routing with constant stretch for wireless sensor network with holes , 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

[3]  Michal Król,et al.  Wireless Sensor Networks and Multi-UAV systems for natural disaster management , 2017, Comput. Networks.

[4]  Leonidas J. Guibas,et al.  Locating and bypassing routing holes in sensor networks , 2004, IEEE INFOCOM 2004.

[5]  Anand S. Bhosle,et al.  Forest disaster management with wireless sensor network , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[6]  Myounggyu Won,et al.  CAMA: Efficient Modeling of the Capture Effect for Low-Power Wireless Networks , 2014, TOSN.

[7]  Hui Li,et al.  Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable Systems , 2013, Mob. Networks Appl..

[8]  Mohsen Guizani,et al.  A Disaster Management-Oriented Path Planning for Mobile Anchor Node-Based Localization in Wireless Sensor Networks , 2020, IEEE Transactions on Emerging Topics in Computing.

[9]  Jang-Ping Sheu,et al.  A Hole Avoiding Routing Protocol in Wireless Sensor Networks , 2014, 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom).

[10]  Yusheng Ji,et al.  Load balanced and constant stretch routing in the vicinity of holes in WSNs , 2018, 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[11]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[12]  Myounggyu Won,et al.  GOAL: A parsimonious geographic routing protocol for large scale sensor networks , 2013, Ad Hoc Networks.

[13]  Roberto Tamassia,et al.  Bypassing Holes in Sensor Networks: Load-Balance vs. Latency , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.