PROJECT TITLE :
Prime-set-based neighbour discovery algorithm for low duty-cycle dynamic WSNs
A novel probabilistic algorithm for low duty-cycle dynamic (mobile sensors) wireless sensor networks (WSNs) is proposed. The fast development of good phones and mobile sensors had fostered a requirement for opportunistic encounter-based mostly networking to support mobile social networking and proximity-primarily based gaming. However, the performance of such applications was restricted by a scarcity of specialised neighbour discovery algorithms. For existing algorithms, while the probabilistic algorithms have good performance in average discovery latency, when working with a low duty-cycle, the performance isn't thus encouraging. Deterministic algorithms can offer certain time for the worst discovery latency, however they sacrificed the typical discovery latency. In response, a novel prime-set-primarily based neighbour discovery algorithm (PSBA) is proposed. The PSBA is a probabilistic algorithm tailored to low duty-cycle dynamic WSNs. Leveraging on the knowledge of the deterministic algorithm and also the randomness of the probabilistic algorithm, the inherent long tail of the probabilistic algorithm will be improved. Also, the common discovery latency of the PSBA will be drastically reduced compared to existing algorithms, which precisely meets the wants in low duty-cycle dynamic WSNs.
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