Title :
Adaptive Probabilistic Epidemic Protocol for Wireless Sensor Networks in an Urban Environment
Author :
Tan, Siok Kheng ; Munro, Alistair
Author_Institution :
Univ. of Bristol, Bristol
Abstract :
In this paper, we consider the use of multi-level wireless sensor networks (WSN) in an urban environment for scenarios such as disaster recovery or a military mission in a battlefield. The quick deployment of WSN, comprised of ground sensors and unmanned air vehicles (UAVs) flying above building height, enables a new communication network to be formed instantly. However, due to the obstruction of buildings and movement of sensor nodes, communications among the sensor nodes is intermittent resulting in frequent partitioning of the network. The epidemic routing protocol, with its simple and robust flooding nature has made communication in a partitioned network possible, exploiting the mobility of the network nodes and based on pair-wise communication. However, due to the broadcast nature of this protocol, problems such as redundancy rebroadcast, contention and collisions, collectively known as the broadcast storm problem, have been observed. We first recommend a more detailed radio propagation modelling approach for the urban environment for more realistic simulation studies. Further, we propose an adaptive probabilistic epidemic protocol for WSN in the urban environment that adapts to the network topology over time. Through simulation studies, we show that this protocol improves the performance of the WSN in terms of data packet delivery probability compared to the case without probabilistic transmission in epidemic protocol.
Keywords :
mobile robots; probability; remotely operated vehicles; routing protocols; telecommunication network topology; adaptive probabilistic epidemic protocol; disaster recovery; epidemic routing protocol; ground sensors; military mission; multilevel wireless sensor networks; network topology; unmanned air vehicles; Communication networks; Network topology; Radio broadcasting; Radio propagation; Robustness; Routing protocols; Storms; Unmanned aerial vehicles; Wireless application protocol; Wireless sensor networks;
Conference_Titel :
Computer Communications and Networks, 2007. ICCCN 2007. Proceedings of 16th International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-1251-8
Electronic_ISBN :
1095-2055
DOI :
10.1109/ICCCN.2007.4317966