Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  assumes a set of n mobile sensors that move in the Euclidean plane as a swarm. Our objectives are to explore a given geographic region by detecting spatio-temporal events of interest and to store these events in the network until the user requests them. Such a setting finds applications in mobile environments where the user (i.e., the sink) is infrequently within communication range from the field deployment. Our framework, coined SenseSwarm, dynamically partitions the sensing devices into perimeter and core nodes. Data acquisition is scheduled at the perimeter, in order to minimize energy consumption, while storage and replication takes place at the core nodes which are physically and logically shielded to threats and obstacles. To efficiently identify the nodes laying on the perimeter of the swarm  devise the Perimeter Algorithm (PA), an efficient distributed algorithm with a low communication complexity. For storage and fault-tolerance  devise the Data Replication Algorithm (DRA), a voting-based replication scheme  that enables the  exact retrieval of events from the network in cases of failures. Our trace-driven experimentation shows that our framework can offer significant energy reductions while maintaining high data availability rates. In particular,  found that when failures are less than 60% failure then  can recover over 80% of generated events exactly.
['Panayiotis C. Andreou', 'Demetrios Zeinalipour-Yazti', 'Maria I. Andreou', 'Panos K. Chrysanthis', 'George Samaras']
I am writing a research paper on a idea Perimeter-Based Data Replication in Mobile Sensor Networks
[{"from": "human", "value": "I am writing a research paper on a idea Perimeter-Based Data Replication in Mobile Sensor Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  assumes a set of n mobile sensors that move in the Euclidean plane as a swarm. Our objectives are to explore a given geographic region by detecting spatio-temporal events of interest and to store these events in the network until the user requests them. Such a setting finds applications in mobile environments where the user (i.e., the sink) is infrequently within communication range from the field deployment. Our framework, coined SenseSwarm, dynamically partitions the sensing devices into perimeter and core nodes. Data acquisition is scheduled at the perimeter, in order to minimize energy consumption, while storage and replication takes place at the core nodes which are physically and logically shielded to threats and obstacles. To efficiently identify the nodes laying on the perimeter of the swarm  devise the Perimeter Algorithm (PA), an efficient distributed algorithm with a low communication complexity. For storage and fault-tolerance  devise the Data Replication Algorithm (DRA), a voting-based replication scheme\u00a0\u00a0that enables the\u00a0\u00a0exact retrieval of events from the network in cases of failures. Our trace-driven experimentation shows that our framework can offer significant energy reductions while maintaining high data availability rates. In particular,  found that when failures are less than 60% failure then  can recover over 80% of generated events exactly."}]